Cerner has created a Resurgence Risk Index (CRRI) tool to understand COVID-19 risk trends and forecasts. This information can be used as inputs into reopening of elective non-COVID-19 care services, planning for potential re-surges and for shaping public policy and guidance.
Use the tab selector below to display information by region type.
The two bar graphs below show data for the most populated regions (and all US states).
Watch the video on the right to get an overview of this page. (Double-click or use the "Fullscreen" button in the lower-right corner of the video frame to make it larger.)
Highest CRRI and Re in Last 2 Weeks for the 60 Most Populous Countries
Re is an epidemiological measure of the rate of spread of the epidemic. Values less than one represent decreasing case counts, while values greater than one represent increasing case counts. Clicking on a bar will open the summary plot for that country.
According to the WHO:
Without careful planning, and in the absence of scaled up public health and clinical care capacities, the premature lifting of physical distancing measures is likely to lead to an uncontrolled resurgence in COVID-19 transmission and an amplified second wave of cases.
Historical Cerner Resurgence Risk Index for the 60 Most Populous Countries
This plot shows the historical CRRI in each country since March, sorted by CRRI scores over the last 2 weeks.
Clicking on a bar or slot will open the summary plot for that country
Resurgence Data by Country
Use the historical trends and forecasts to view detailed graphs for countries of interest. Use the "Search" box to explore countries of interest further and to find countries not displayed in the charts above.Country | R0 | Re | Re 2 Wk High | Recent Days Re < 1.0 | Past Data | Forecast |
---|---|---|---|---|---|
Afghanistan | 1.64 | 1.13 |
1.13 |
64% | |
Albania | 1.60 | 1.07 |
1.07 |
29% | |
Algeria | 2.27 | 0.93 |
0.94 |
100% | |
Andorra | 1.88 | 1.38 |
1.38 |
0% | |
Angola | 1.39 | 0.74 |
0.74 |
100% | |
Antigua and Barbuda | 1.36 | 0.76 |
0.76 |
100% | |
Argentina | 1.29 | 0.97 |
0.98 |
100% | |
Armenia | 1.71 | 1.01 |
1.05 |
0% | |
Australia | 1.99 | 0.94 |
1.05 |
64% | |
Austria | 2.78 | 1.14 |
1.19 |
0% | |
Azerbaijan | 1.59 | 1.04 |
1.24 |
0% | |
Bahamas | 1.64 | 0.73 |
1.05 |
71% | |
Bahrain | 1.35 | 0.94 |
1.02 |
79% | |
Bangladesh | 1.78 | 0.80 |
0.80 |
100% | |
Barbados | 1.52 | 1.10 |
1.14 |
0% | |
Belarus | 1.87 | 0.95 |
0.99 |
100% | |
Belgium | 2.71 | 1.15 |
1.19 |
0% | |
Belize | 1.64 | 0.87 |
1.13 |
64% | |
Benin | 1.50 | 1.24 |
1.24 |
79% | |
Bhutan | 1.77 | 0.81 |
0.98 |
100% | |
Bolivia (Plurinational State of) | 1.47 | 1.08 |
1.09 |
0% | |
Bosnia and Herzegovina | 1.87 | 1.04 |
1.04 |
43% | |
Botswana | 1.49 | 0.92 |
1.19 |
21% | |
Brazil | 1.76 | 0.96 |
0.96 |
100% | |
Brunei Darussalam | 2.92 | 0.99 |
1.11 |
64% | |
Bulgaria | 1.54 | 0.96 |
1.14 |
36% | |
Burkina Faso | 1.93 | 0.38 |
1.01 |
93% | |
Myanmar | 1.98 | 0.86 |
0.92 |
100% | |
Burundi | 1.78 | 0.60 |
0.60 |
100% | |
Cabo Verde | 1.44 | 0.86 |
0.86 |
100% | |
Cambodia | 1.71 | 0.76 |
0.76 |
100% | |
Cameroon | 1.84 | 0.89 |
0.89 |
100% | |
Canada | 2.41 | 0.87 |
0.93 |
100% | |
Central African Republic | 2.39 | 1.27 |
1.32 |
0% | |
Chad | 1.55 | 0.95 |
0.98 |
100% | |
Chile | 2.17 | 1.08 |
1.26 |
0% | |
China | 6.00 | 1.29 |
1.29 |
21% | |
Colombia | 1.60 | 1.58 |
1.60 |
0% | |
Comoros | 1.67 | 1.21 |
1.22 |
0% | |
Democratic Republic of the Congo | 1.49 | 1.07 |
1.34 |
0% | |
Congo | 1.86 | 0.97 |
0.97 |
100% | |
Costa Rica | 1.44 | 0.94 |
0.94 |
100% | |
Côte d'Ivoire | 1.67 | 0.77 |
0.80 |
100% | |
Croatia | 1.71 | 1.24 |
1.27 |
0% | |
Cuba | 1.43 | 0.69 |
0.69 |
100% | |
Cyprus | 2.02 | 1.02 |
1.10 |
0% | |
Czechia | 2.27 | 1.38 |
1.50 |
0% | |
Denmark | 3.07 | 1.12 |
1.15 |
0% | |
Djibouti | 1.68 | 0.55 |
0.59 |
100% | |
Dominica | 2.78 | 1.01 |
1.04 |
29% | |
Dominican Republic | 2.34 | 0.94 |
1.07 |
57% | |
Ecuador | 2.70 | 1.21 |
1.21 |
43% | |
Egypt | 1.86 | 1.01 |
1.06 |
0% | |
El Salvador | 1.34 | 1.23 |
1.23 |
43% | |
Equatorial Guinea | 1.77 | 0.99 |
0.99 |
100% | |
Eritrea | 2.19 | 0.92 |
0.92 |
100% | |
Estonia | 1.79 | 1.06 |
1.11 |
0% | |
Eswatini | 1.76 | 0.68 |
0.68 |
100% | |
Ethiopia | 1.63 | 0.89 |
0.89 |
100% | |
Fiji | 1.56 | 0.78 |
0.88 |
100% | |
Finland | 1.81 | 1.22 |
1.22 |
0% | |
France | 2.79 | 1.08 |
1.09 |
14% | |
Gabon | 1.48 | 1.07 |
1.07 |
57% | |
Gambia | 1.84 | 0.95 |
1.01 |
93% | |
Georgia | 1.69 | 0.96 |
1.11 |
36% | |
Germany | 2.90 | 1.18 |
1.20 |
0% | |
Ghana | 1.96 | 0.74 |
1.00 |
100% | |
Greece | 1.76 | 1.09 |
1.11 |
0% | |
Grenada | 2.04 | 0.59 |
0.59 |
100% | |
Guatemala | 1.56 | 0.96 |
0.96 |
100% | |
Guinea | 1.63 | 0.84 |
0.93 |
100% | |
Guinea–Bissau | 1.69 | 0.88 |
1.00 |
86% | |
Guyana | 1.27 | 0.90 |
0.90 |
100% | |
Haiti | 1.68 | 0.95 |
1.05 |
64% | |
Honduras | 1.53 | 0.90 |
0.90 |
100% | |
Hungary | 1.69 | 1.24 |
1.32 |
0% | |
Iceland | 4.40 | 1.19 |
1.21 |
0% | |
India | 1.44 | 0.94 |
0.94 |
100% | |
Indonesia | 1.31 | 0.78 |
0.78 |
100% | |
Iran (Islamic Republic of) | 4.07 | 0.90 |
0.94 |
100% | |
Iraq | 1.56 | 0.87 |
0.89 |
100% | |
Ireland | 2.71 | 0.98 |
1.11 |
21% | |
Israel | 2.06 | 0.75 |
0.75 |
100% | |
Italy | 2.87 | 1.04 |
1.04 |
64% | |
Jamaica | 1.46 | 0.86 |
0.86 |
100% | |
Japan | 1.51 | 0.77 |
0.77 |
100% | |
Jordan | 1.77 | 0.93 |
1.10 |
50% | |
Kazakhstan | 1.91 | 1.01 |
1.01 |
79% | |
Kenya | 1.44 | 1.08 |
1.08 |
64% | |
Republic of Korea | 2.40 | 1.27 |
1.27 |
36% | |
Kuwait | 1.52 | 1.17 |
1.22 |
71% | |
Kyrgyzstan | 2.06 | 1.16 |
1.18 |
0% | |
Lao People's Democratic Republic | 3.11 | 1.18 |
1.19 |
0% | |
Latvia | 1.58 | 1.15 |
1.30 |
0% | |
Lebanon | 1.43 | 0.92 |
0.92 |
100% | |
Lesotho | 2.02 | 0.85 |
0.85 |
100% | |
Liberia | 1.71 | 0.98 |
1.05 |
64% | |
Libya | 1.74 | 1.01 |
1.01 |
93% | |
Liechtenstein | 1.94 | 1.07 |
1.36 |
0% | |
Lithuania | 1.62 | 1.07 |
1.14 |
0% | |
Luxembourg | 2.29 | 1.03 |
1.07 |
0% | |
Madagascar | 1.71 | 0.77 |
0.77 |
100% | |
Malawi | 2.00 | 0.83 |
0.92 |
100% | |
Malaysia | 1.49 | 0.92 |
0.92 |
100% | |
Maldives | 1.65 | 1.12 |
1.12 |
0% | |
Mali | 1.43 | 1.09 |
1.16 |
0% | |
Malta | 1.70 | 0.74 |
1.08 |
86% | |
Mauritania | 1.96 | 1.05 |
1.05 |
57% | |
Mexico | 1.67 | 0.97 |
0.97 |
100% | |
Republic of Moldova | 1.90 | 1.12 |
1.12 |
43% | |
Monaco | 1.55 | 1.13 |
1.25 |
0% | |
Mongolia | 1.46 | 0.95 |
0.95 |
100% | |
Morocco | 1.54 | 0.83 |
0.83 |
100% | |
Mozambique | 1.63 | 0.82 |
1.04 |
86% | |
Namibia | 1.59 | 1.50 |
1.51 |
14% | |
Nepal | 1.95 | 0.92 |
0.96 |
100% | |
Netherlands | 3.22 | 1.11 |
1.19 |
0% | |
New Zealand | 2.81 | 1.13 |
1.28 |
0% | |
Nicaragua | 1.93 | 0.74 |
0.89 |
100% | |
Niger | 1.88 | 1.07 |
1.17 |
0% | |
Nigeria | 1.52 | 0.81 |
0.88 |
100% | |
North Macedonia | 1.95 | 1.22 |
1.25 |
0% | |
Norway | 3.39 | 1.20 |
1.20 |
0% | |
Oman | 1.46 | 1.17 |
1.25 |
71% | |
Pakistan | 2.28 | 0.88 |
0.88 |
100% | |
Panama | 2.42 | 0.94 |
0.95 |
100% | |
Papua New Guinea | 1.71 | 1.11 |
1.13 |
0% | |
Paraguay | 1.48 | 1.18 |
1.44 |
0% | |
Peru | 1.81 | 1.19 |
1.19 |
7% | |
Philippines | 1.84 | 0.87 |
0.87 |
100% | |
Poland | 1.74 | 1.23 |
1.40 |
0% | |
Portugal | 2.85 | 1.15 |
1.17 |
0% | |
Qatar | 2.42 | 1.08 |
1.09 |
21% | |
Romania | 1.89 | 1.10 |
1.10 |
0% | |
Russian Federation | 1.88 | 0.95 |
1.07 |
57% | |
Rwanda | 1.69 | 0.85 |
0.85 |
100% | |
Saint Kitts and Nevis | 2.19 | 0.83 |
0.83 |
100% | |
Saint Lucia | 1.42 | 0.97 |
0.97 |
100% | |
Saint Vincent and the Grenadines | 2.32 | 0.65 |
1.12 |
64% | |
San Marino | 2.83 | 1.56 |
1.56 |
0% | |
Sao Tome and Principe | 2.63 | 0.59 |
0.59 |
100% | |
Saudi Arabia | 2.06 | 1.07 |
1.17 |
43% | |
Senegal | 1.57 | 0.89 |
0.97 |
100% | |
Serbia | 1.62 | 0.96 |
1.00 |
100% | |
Seychelles | 1.52 | 0.83 |
0.99 |
100% | |
Sierra Leone | 1.63 | 0.96 |
1.05 |
79% | |
Singapore | 1.66 | 1.23 |
1.27 |
0% | |
Slovakia | 1.61 | 1.26 |
1.29 |
0% | |
Slovenia | 3.85 | 1.08 |
1.14 |
0% | |
Somalia | 1.92 | 1.92 |
1.92 |
43% | |
South Africa | 1.35 | 0.76 |
0.76 |
100% | |
South Sudan | 1.45 | 0.70 |
0.99 |
100% | |
Spain | 3.23 | 0.98 |
1.01 |
71% | |
Sri Lanka | 1.50 | 0.98 |
0.98 |
100% | |
Sudan | 2.13 | 1.00 |
1.37 |
29% | |
Suriname | 1.61 | 0.81 |
0.95 |
100% | |
Sweden | 2.63 | 1.10 |
1.10 |
43% | |
Switzerland | 3.61 | 1.11 |
1.11 |
0% | |
Syrian Arab Republic | 1.50 | 0.98 |
1.07 |
29% | |
China, Taiwan Province of China | 2.23 | 1.14 |
1.21 |
43% | |
Tajikistan | 2.21 | 0.98 |
1.06 |
64% | |
United Republic of Tanzania | 2.52 | 1.29 |
1.29 |
79% | |
Thailand | 1.91 | 0.96 |
0.96 |
100% | |
Timor–Leste | 1.44 | 1.13 |
1.13 |
71% | |
Togo | 1.33 | 1.06 |
1.06 |
79% | |
Trinidad and Tobago | 2.07 | 1.23 |
1.24 |
0% | |
Tunisia | 1.52 | 0.93 |
0.93 |
100% | |
Turkey | 3.82 | 0.93 |
1.00 |
93% | |
United States of America | 2.60 | 1.19 |
1.19 |
0% | |
Uganda | 1.90 | 0.99 |
1.00 |
100% | |
Ukraine | 1.53 | 1.06 |
1.11 |
0% | |
United Arab Emirates | 1.68 | 0.83 |
0.83 |
100% | |
United Kingdom | 2.65 | 0.99 |
1.10 |
14% | |
Uruguay | 1.40 | 1.04 |
1.09 |
0% | |
Uzbekistan | 1.49 | 0.97 |
0.97 |
100% | |
Venezuela (Bolivarian Republic of) | 1.47 | 0.99 |
0.99 |
100% | |
Yemen | 1.73 | 0.77 |
0.90 |
100% | |
Zambia | 1.91 | 0.74 |
0.85 |
100% | |
Zimbabwe | 1.69 | 0.96 |
0.96 |
100% |
Highest CRRI and Re in Last 2 Weeks for All States
Re is an epidemiological measure of the rate of spread of the epidemic. Values less than one represent decreasing case counts, while values greater than one represent increasing case counts. Clicking on a bar will open the summary plot for that state.
The White House recommends that states have consistently declining case counts for 2 weeks before reopening. States meeting this criterion have a Cerner Resurgence Risk Index (CRRI) of 1 and shown in blue, and states that are close to meeting this criterion have a CRRI of 2 and are shown in purple.
Historical Cerner Resurgence Risk Index for All States
This plot shows the historical CRRI in each state since March, sorted by CRRI scores over the last 2 weeks.
Clicking on a bar or slot will open the summary plot for that state
Resurgence Data by State
Use the historical trends and forecasts to view detailed graphs for states of interest. Use the search box to explore states of interest further.State | R0 | Re | Re 2 Wk High | Recent Days Re < 1.0 | Past Data | Forecast | Abbrev |
---|---|---|---|---|---|---|
Alabama | 2.60 | 1.47 |
1.47 |
29% | AL | |
Alaska | 1.62 | 0.98 |
0.99 |
100% | AK | |
Arizona | 2.21 | 1.21 |
1.21 |
0% | AZ | |
Arkansas | 3.13 | 1.01 |
1.01 |
86% | AR | |
California | 1.91 | 1.07 |
1.07 |
36% | CA | |
Colorado | 2.89 | 1.16 |
1.16 |
0% | CO | |
Connecticut | 4.43 | 0.88 |
1.01 |
79% | CT | |
Delaware | 2.29 | 0.97 |
0.97 |
100% | DC | |
District of Columbia | 3.60 | 1.01 |
1.01 |
93% | DE | |
Florida | 2.35 | 1.25 |
1.25 |
43% | FL | |
Georgia | 2.43 | 0.97 |
0.97 |
100% | GA | |
Hawaii | 1.53 | 1.06 |
1.06 |
57% | HI | |
Idaho | 2.27 | 1.02 |
1.06 |
0% | ID | |
Illinois | 2.74 | 1.00 |
1.00 |
100% | IL | |
Indiana | 2.44 | 1.03 |
1.03 |
71% | IN | |
Iowa | 1.81 | 1.10 |
1.10 |
0% | IA | |
Kansas | 2.00 | 1.22 |
1.22 |
21% | KS | |
Kentucky | 1.86 | 0.95 |
0.95 |
100% | KY | |
Louisiana | 5.41 | 0.91 |
0.91 |
100% | LA | |
Maine | 3.23 | 1.04 |
1.04 |
43% | ME | |
Maryland | 2.60 | 0.97 |
0.97 |
100% | MD | |
Massachusetts | 2.52 | 1.03 |
1.03 |
21% | MA | |
Michigan | 5.95 | 1.14 |
1.14 |
7% | MI | |
Minnesota | 1.85 | 1.02 |
1.02 |
86% | MN | |
Mississippi | 3.60 | 1.09 |
1.09 |
64% | MS | |
Missouri | 2.63 | 0.90 |
1.00 |
100% | MO | |
Montana | 1.73 | 1.06 |
1.06 |
0% | MT | |
Nebraska | 1.58 | 1.04 |
1.04 |
79% | NE | |
Nevada | 2.23 | 0.93 |
0.93 |
100% | NV | |
New Hampshire | 1.67 | 0.70 |
1.00 |
100% | NH | |
New Jersey | 3.90 | 1.03 |
1.03 |
71% | NJ | |
New Mexico | 1.74 | 1.10 |
1.11 |
0% | NM | |
New York | 4.37 | 0.98 |
0.98 |
100% | NY | |
North Carolina | 2.08 | 0.97 |
0.97 |
100% | NC | |
North Dakota | 1.49 | 1.07 |
1.07 |
57% | ND | |
Ohio | 2.49 | 1.02 |
1.02 |
79% | OH | |
Oklahoma | 2.00 | 0.99 |
0.99 |
100% | OK | |
Oregon | 1.70 | 1.02 |
1.02 |
64% | OR | |
Pennsylvania | 2.83 | 1.04 |
1.04 |
50% | PA | |
Puerto Rico | 2.58 | 0.99 |
1.01 |
79% | PR | |
Rhode Island | 2.03 | 0.92 |
1.00 |
93% | RI | |
South Carolina | 1.97 | 0.95 |
0.95 |
100% | SC | |
South Dakota | 1.53 | 1.09 |
1.12 |
0% | SD | |
Tennessee | 2.39 | 1.13 |
1.13 |
50% | TN | |
Texas | 1.95 | 0.95 |
0.95 |
100% | TX | |
Utah | 1.83 | 1.14 |
1.14 |
0% | UT | |
Vermont | 1.69 | 0.99 |
1.05 |
64% | VT | |
Virginia | 2.15 | 0.98 |
0.98 |
100% | VA | |
Washington | 2.07 | 1.05 |
1.05 |
21% | WA | |
West Virginia | 2.02 | 1.02 |
1.02 |
79% | WV | |
Wisconsin | 3.09 | 1.04 |
1.04 |
71% | WI | |
Wyoming | 1.49 | 0.98 |
1.02 |
64% | WY |
Highest CRRI and Re in Last 2 Weeks for the 60 Most Populous CSA
Re is an epidemiological measure of the rate of spread of theepidemic. Values less than one represent decreasing case counts, while values greater than one representincreasing case counts. Clicking on a bar will open the summary plot for that combined statistical area (CSA).
The White House recommends that states have consistently declining case counts for 2 weeks before reopening. States meeting this criterion have a Cerner Resurgence Risk Index (CRRI) of 1 and shown in blue, and states that are close to meeting this criterion have a CRRI of 2 and are shown in purple.
Historical Cerner Resurgence Risk Index for the 60 Most Populous CSA
This plot shows the historical CRRI in each CSA since March, sorted by CRRI scores over the last 2 weeks.
Clicking on a bar or slot will open the summary plot for that combined statistical area (CSA)
Resurgence Data by CSA
Use the historical trends and forecasts to view detailed graphs for CSA of interest. Use the "Search" box to explore CSA of interest further and to find CSA not displayed in the charts above.CSA Name | R0 | Re | Re 2 Wk High | States | Recent Days Re < 1.0 | Past Data | Forecast | |
---|---|---|---|---|---|---|---|
Albany–Schenectady, NY | 2.14 | 1.03 |
1.04 |
New York | 0% | 104 | |
Albuquerque–Santa Fe–Las Vegas, NM | 1.55 | 1.17 |
1.17 |
New Mexico | 0% | 106 | |
Amarillo–Borger, TX | 1.48 | 1.04 |
1.05 |
Texas | 7% | 108 | |
Appleton–Oshkosh–Neenah, WI | 1.33 | 1.03 |
1.03 |
Wisconsin | 14% | 118 | |
Asheville–Brevard, NC | 1.43 | 0.90 |
0.90 |
North Carolina | 100% | 120 | |
Atlanta—Athens–Clarke County—Sandy Springs, GA | 2.46 | 1.00 |
1.00 |
Georgia | 93% | 122 | |
Bend–Redmond–Prineville, OR | 1.31 | 1.01 |
1.01 |
Oregon | 86% | 140 | |
Birmingham–Hoover–Talladega, AL | 2.24 | 1.31 |
1.31 |
Alabama | 29% | 142 | |
Bloomington–Bedford, IN | 1.60 | 0.98 |
0.99 |
Indiana | 100% | 144 | |
Bloomington–Pontiac, IL | 1.29 | 1.02 |
1.02 |
Illinois | 71% | 145 | |
Bloomsburg–Berwick–Sunbury, PA | 1.60 | 1.13 |
1.13 |
Pennsylvania | 0% | 146 | |
Boise City–Mountain Home–Ontario, ID–OR | 1.84 | 0.92 |
1.01 |
Idaho,Oregon | 86% | 147 | |
Boston–Worcester–Providence, MA–RI–NH–CT | 2.50 | 0.96 |
1.01 |
Connecticut,Massachusetts,New Hampshire,Rhode Island | 79% | 148 | |
Bowling Green–Glasgow, KY | 1.43 | 0.96 |
0.96 |
Kentucky | 100% | 150 | |
Brownsville–Harlingen–Raymondville, TX | 1.69 | 0.93 |
1.11 |
Texas | 71% | 154 | |
Buffalo–Cheektowaga, NY | 3.88 | 1.05 |
1.05 |
New York | 0% | 160 | |
Cape Coral–Fort Myers–Naples, FL | 1.59 | 1.18 |
1.18 |
Florida | 57% | 162 | |
Cape Girardeau–Sikeston, MO–IL | 1.44 | 0.85 |
0.97 |
Illinois,Missouri | 100% | 164 | |
Cedar Rapids–Iowa City, IA | 1.61 | 1.10 |
1.10 |
Iowa | 64% | 168 | |
Charleston–Huntington–Ashland, WV–OH–KY | 1.60 | 0.97 |
0.97 |
Kentucky,Ohio,West Virginia | 100% | 170 | |
Charlotte–Concord, NC–SC | 2.37 | 0.96 |
0.96 |
North Carolina,South Carolina | 100% | 172 | |
Chattanooga–Cleveland–Dalton, TN–GA–AL | 1.42 | 0.99 |
0.99 |
Alabama,Georgia,Tennessee | 100% | 174 | |
Chicago–Naperville, IL–IN–WI | 2.82 | 1.05 |
1.05 |
Illinois,Indiana,Wisconsin | 7% | 176 | |
Cincinnati–Wilmington–Maysville, OH–KY–IN | 1.99 | 0.92 |
0.92 |
Indiana,Kentucky,Ohio | 100% | 178 | |
Cleveland–Akron–Canton, OH | 2.74 | 1.03 |
1.03 |
Ohio | 64% | 184 | |
Cleveland–Indianola, MS | 1.32 | 0.85 |
1.04 |
Mississippi | 79% | 185 | |
Clovis–Portales, NM | 1.25 | 1.19 |
1.19 |
New Mexico | 0% | 188 | |
Columbia–Moberly–Mexico, MO | 1.48 | 1.03 |
1.03 |
Missouri | 50% | 190 | |
Columbia–Orangeburg–Newberry, SC | 1.69 | 0.96 |
0.96 |
South Carolina | 100% | 192 | |
Columbus–Auburn–Opelika, GA–AL | 1.91 | 1.91 |
1.91 |
Alabama,Georgia | 0% | 194 | |
Columbus–Marion–Zanesville, OH | 2.64 | 1.00 |
1.00 |
Ohio | 100% | 198 | |
Corpus Christi–Kingsville–Alice, TX | 1.94 | 0.88 |
0.88 |
Texas | 100% | 204 | |
Dallas–Fort Worth, TX–OK | 2.00 | 0.95 |
0.95 |
Oklahoma,Texas | 100% | 206 | |
Davenport–Moline, IA–IL | 1.71 | 0.93 |
0.94 |
Illinois,Iowa | 100% | 209 | |
Dayton–Springfield–Sidney, OH | 1.94 | 0.99 |
0.99 |
Ohio | 100% | 212 | |
Denver–Aurora, CO | 2.61 | 1.17 |
1.17 |
Colorado | 0% | 216 | |
DeRidder–Fort Polk South, LA | 1.32 | 0.90 |
0.90 |
Louisiana | 100% | 217 | |
Des Moines–Ames–West Des Moines, IA | 1.55 | 1.06 |
1.06 |
Iowa | 71% | 218 | |
Detroit–Warren–Ann Arbor, MI | 6.00 | 1.15 |
1.15 |
Michigan | 0% | 220 | |
Dixon–Sterling, IL | 1.29 | 0.73 |
0.95 |
Illinois | 100% | 221 | |
Dothan–Enterprise–Ozark, AL | 1.63 | 1.17 |
1.17 |
Alabama | 71% | 222 | |
Eau Claire–Menomonie, WI | 1.33 | 1.00 |
1.00 |
Wisconsin | 100% | 232 | |
Edwards–Glenwood Springs, CO | 3.02 | 1.12 |
1.12 |
Colorado | 0% | 233 | |
Elmira–Corning, NY | 1.80 | 0.94 |
0.99 |
New York | 100% | 236 | |
El Paso–Las Cruces, TX–NM | 1.42 | 1.21 |
1.23 |
New Mexico,Texas | 0% | 238 | |
Erie–Meadville, PA | 1.45 | 1.00 |
1.01 |
Pennsylvania | 71% | 240 | |
Fargo–Wahpeton, ND–MN | 1.40 | 1.10 |
1.10 |
Minnesota,North Dakota | 36% | 244 | |
Fayetteville–Lumberton–Laurinburg, NC | 1.32 | 1.13 |
1.13 |
North Carolina | 50% | 246 | |
Findlay–Tiffin, OH | 1.42 | 1.06 |
1.06 |
Ohio | 71% | 248 | |
Fort Wayne–Huntington–Auburn, IN | 1.56 | 0.97 |
1.00 |
Indiana | 93% | 258 | |
Fresno–Madera, CA | 1.53 | 1.17 |
1.17 |
California | 7% | 260 | |
Gainesville–Lake City, FL | 1.41 | 1.23 |
1.23 |
Florida | 43% | 264 | |
Grand Rapids–Wyoming–Muskegon, MI | 1.86 | 1.10 |
1.10 |
Michigan | 0% | 266 | |
Green Bay–Shawano, WI | 1.63 | 0.97 |
0.99 |
Wisconsin | 100% | 267 | |
Greensboro—Winston–Salem—High Point, NC | 1.65 | 0.97 |
0.97 |
North Carolina | 100% | 268 | |
Greenville–Spartanburg–Anderson, SC | 1.64 | 1.00 |
1.00 |
South Carolina | 100% | 273 | |
Greenville–Washington, NC | 1.23 | 0.98 |
0.98 |
North Carolina | 100% | 274 | |
Harrisburg–York–Lebanon, PA | 1.72 | 1.04 |
1.04 |
Pennsylvania | 50% | 276 | |
Harrisonburg–Staunton–Waynesboro, VA | 1.48 | 0.97 |
0.97 |
Virginia | 100% | 277 | |
Hartford–West Hartford, CT | 4.01 | 0.92 |
1.05 |
Connecticut | 50% | 278 | |
Hickory–Lenoir, NC | 1.34 | 0.97 |
0.97 |
North Carolina | 100% | 280 | |
Hot Springs–Malvern, AR | 1.60 | 0.97 |
1.04 |
Arkansas | 64% | 284 | |
Houston–The Woodlands, TX | 2.06 | 0.98 |
0.98 |
Texas | 100% | 288 | |
Huntsville–Decatur–Albertville, AL | 1.64 | 1.46 |
1.46 |
Alabama | 29% | 290 | |
Idaho Falls–Rexburg–Blackfoot, ID | 1.26 | 1.18 |
1.18 |
Idaho | 0% | 292 | |
Indianapolis–Carmel–Muncie, IN | 2.57 | 0.98 |
0.98 |
Indiana | 100% | 294 | |
Ithaca–Cortland, NY | 1.44 | 1.16 |
1.16 |
New York | 14% | 296 | |
Jackson–Vicksburg–Brookhaven, MS | 2.25 | 1.12 |
1.12 |
Mississippi | 57% | 298 | |
Jacksonville–St. Marys–Palatka, FL–GA | 1.75 | 1.19 |
1.19 |
Florida,Georgia | 57% | 300 | |
Johnson City–Kingsport–Bristol, TN–VA | 1.45 | 0.91 |
0.94 |
Tennessee,Virginia | 100% | 304 | |
Johnstown–Somerset, PA | 1.47 | 1.07 |
1.07 |
Pennsylvania | 0% | 306 | |
Jonesboro–Paragould, AR | 1.28 | 0.81 |
0.81 |
Arkansas | 100% | 308 | |
Joplin–Miami, MO–OK | 1.84 | 0.87 |
1.04 |
Missouri,Oklahoma | 71% | 309 | |
Kalamazoo–Battle Creek–Portage, MI | 2.03 | 1.12 |
1.12 |
Michigan | 43% | 310 | |
Kansas City–Overland Park–Kansas City, MO–KS | 2.06 | 1.01 |
1.01 |
Kansas,Missouri | 86% | 312 | |
Knoxville–Morristown–Sevierville, TN | 1.49 | 1.02 |
1.02 |
Tennessee | 71% | 314 | |
Kokomo–Peru, IN | 1.34 | 1.10 |
1.10 |
Indiana | 43% | 316 | |
Lafayette–Opelousas–Morgan City, LA | 2.20 | 1.11 |
1.11 |
Louisiana | 36% | 318 | |
Lafayette–West Lafayette–Frankfort, IN | 1.33 | 0.96 |
1.05 |
Indiana | 57% | 320 | |
Lansing–East Lansing–Owosso, MI | 1.69 | 1.12 |
1.12 |
Michigan | 36% | 330 | |
Las Vegas–Henderson, NV–AZ | 2.08 | 0.90 |
0.92 |
Arizona,Nevada | 100% | 332 | |
Lexington–Fayette—Richmond—Frankfort, KY | 1.50 | 0.93 |
0.94 |
Kentucky | 100% | 336 | |
Lima–Van Wert–Celina, OH | 1.29 | 0.97 |
0.97 |
Ohio | 100% | 338 | |
Lincoln–Beatrice, NE | 2.74 | 1.00 |
1.00 |
Nebraska | 100% | 339 | |
Little Rock–North Little Rock, AR | 2.31 | 1.05 |
1.05 |
Arkansas | 64% | 340 | |
Longview–Marshall, TX | 1.52 | 1.04 |
1.04 |
Texas | 86% | 346 | |
Los Angeles–Long Beach, CA | 2.09 | 1.02 |
1.04 |
California | 29% | 348 | |
Louisville/Jefferson County—Elizabethtown—Madison, KY–IN | 1.97 | 0.95 |
0.95 |
Indiana,Kentucky | 100% | 350 | |
Lubbock–Levelland, TX | 1.92 | 1.08 |
1.09 |
Texas | 0% | 352 | |
Macon–Warner Robins, GA | 1.67 | 0.95 |
0.98 |
Georgia | 100% | 356 | |
Madison–Janesville–Beloit, WI | 1.96 | 0.99 |
0.99 |
Wisconsin | 100% | 357 | |
Manhattan–Junction City, KS | 1.40 | 1.28 |
1.40 |
Kansas | 0% | 358 | |
Mankato–New Ulm–North Mankato, MN | 1.40 | 0.96 |
1.00 |
Minnesota | 86% | 359 | |
Mansfield–Ashland–Bucyrus, OH | 1.33 | 0.92 |
0.92 |
Ohio | 100% | 360 | |
Martin–Union City, TN–KY | 1.26 | 0.91 |
0.91 |
Kentucky,Tennessee | 100% | 362 | |
McAllen–Edinburg, TX | 1.95 | 1.02 |
1.09 |
Texas | 14% | 365 | |
Medford–Grants Pass, OR | 1.41 | 1.01 |
1.01 |
Oregon | 79% | 366 | |
Memphis–Forrest City, TN–MS–AR | 2.13 | 0.90 |
0.90 |
Arkansas,Mississippi,Tennessee | 100% | 368 | |
Miami–Fort Lauderdale–Port St. Lucie, FL | 2.92 | 1.25 |
1.25 |
Florida | 43% | 370 | |
Midland–Odessa, TX | 1.74 | 0.99 |
0.99 |
Texas | 100% | 372 | |
Milwaukee–Racine–Waukesha, WI | 4.71 | 0.99 |
0.99 |
Wisconsin | 100% | 376 | |
Minneapolis–St. Paul, MN–WI | 1.85 | 1.07 |
1.07 |
Minnesota,Wisconsin | 64% | 378 | |
Mobile–Daphne–Fairhope, AL | 1.72 | 1.08 |
1.09 |
Alabama | 57% | 380 | |
Modesto–Merced, CA | 1.54 | 1.07 |
1.08 |
California | 29% | 382 | |
Monroe–Ruston–Bastrop, LA | 2.20 | 0.83 |
0.83 |
Louisiana | 100% | 384 | |
Morgantown–Fairmont, WV | 1.34 | 1.12 |
1.12 |
West Virginia | 0% | 390 | |
Moses Lake–Othello, WA | 1.51 | 0.94 |
0.95 |
Washington | 100% | 393 | |
Mount Pleasant–Alma, MI | 1.41 | 1.11 |
1.11 |
Michigan | 7% | 394 | |
Myrtle Beach–Conway, SC–NC | 1.46 | 0.92 |
0.92 |
North Carolina,South Carolina | 100% | 396 | |
Nashville–Davidson—Murfreesboro, TN | 2.13 | 1.02 |
1.02 |
Tennessee | 71% | 400 | |
New Bern–Morehead City, NC | 1.34 | 0.93 |
0.93 |
North Carolina | 100% | 404 | |
New Orleans–Metairie–Hammond, LA–MS | 5.11 | 0.93 |
0.94 |
Louisiana,Mississippi | 100% | 406 | |
New York–Newark, NY–NJ–CT–PA | 4.48 | 0.98 |
0.98 |
Connecticut,New Jersey,New York,Pennsylvania | 100% | 408 | |
North Port–Sarasota, FL | 1.78 | 1.25 |
1.25 |
Florida | 50% | 412 | |
Oklahoma City–Shawnee, OK | 2.29 | 0.90 |
1.01 |
Oklahoma | 79% | 416 | |
Omaha–Council Bluffs–Fremont, NE–IA | 1.92 | 1.10 |
1.10 |
Iowa,Nebraska | 79% | 420 | |
Orlando–Deltona–Daytona Beach, FL | 2.05 | 1.28 |
1.28 |
Florida | 43% | 422 | |
Paducah–Mayfield, KY–IL | 1.35 | 0.96 |
0.96 |
Illinois,Kentucky | 100% | 424 | |
Parkersburg–Marietta–Vienna, WV–OH | 1.35 | 1.01 |
1.01 |
Ohio,West Virginia | 93% | 425 | |
Peoria–Canton, IL | 1.44 | 0.87 |
0.95 |
Illinois | 100% | 426 | |
Philadelphia–Reading–Camden, PA–NJ–DE–MD | 2.93 | 0.96 |
0.96 |
Delaware,Maryland,New Jersey,Pennsylvania | 100% | 428 | |
Pittsburgh–New Castle–Weirton, PA–OH–WV | 2.71 | 1.07 |
1.07 |
Ohio,Pennsylvania,West Virginia | 57% | 430 | |
Portland–Lewiston–South Portland, ME | 2.57 | 1.00 |
1.01 |
Maine | 79% | 438 | |
Portland–Vancouver–Salem, OR–WA | 1.78 | 1.06 |
1.06 |
Oregon,Washington | 36% | 440 | |
Pueblo–Cañon City, CO | 1.46 | 1.19 |
1.19 |
Colorado | 0% | 444 | |
Pullman–Moscow, WA–ID | 1.40 | 1.13 |
1.13 |
Idaho,Washington | 29% | 446 | |
Quincy–Hannibal, IL–MO | 1.27 | 0.94 |
1.07 |
Illinois,Missouri | 50% | 448 | |
Raleigh–Durham–Chapel Hill, NC | 1.60 | 0.95 |
0.95 |
North Carolina | 100% | 450 | |
Rapid City–Spearfish, SD | 1.38 | 1.13 |
1.13 |
South Dakota | 21% | 452 | |
Redding–Red Bluff, CA | 1.32 | 1.02 |
1.02 |
California | 79% | 454 | |
Reno–Carson City–Fernley, NV | 1.48 | 0.95 |
0.95 |
Nevada | 100% | 456 | |
Richmond–Connersville, IN | 1.44 | 0.91 |
0.91 |
Indiana | 100% | 458 | |
Rochester–Austin, MN | 1.41 | 1.07 |
1.07 |
Minnesota | 64% | 462 | |
Rochester–Batavia–Seneca Falls, NY | 2.80 | 1.04 |
1.04 |
New York | 0% | 464 | |
Rockford–Freeport–Rochelle, IL | 1.44 | 1.03 |
1.03 |
Illinois | 29% | 466 | |
Rocky Mount–Wilson–Roanoke Rapids, NC | 1.50 | 0.87 |
0.87 |
North Carolina | 100% | 468 | |
Rome–Summerville, GA | 1.50 | 0.93 |
0.93 |
Georgia | 100% | 470 | |
Sacramento–Roseville, CA | 1.78 | 1.18 |
1.18 |
California | 21% | 472 | |
Saginaw–Midland–Bay City, MI | 1.74 | 1.10 |
1.10 |
Michigan | 29% | 474 | |
St. Louis–St. Charles–Farmington, MO–IL | 2.54 | 0.85 |
0.93 |
Illinois,Missouri | 100% | 476 | |
Salt Lake City–Provo–Orem, UT | 1.82 | 1.12 |
1.12 |
Utah | 0% | 482 | |
San Jose–San Francisco–Oakland, CA | 1.80 | 1.02 |
1.02 |
California | 71% | 488 | |
Savannah–Hinesville–Statesboro, GA | 1.68 | 0.82 |
0.83 |
Georgia | 100% | 496 | |
Seattle–Tacoma, WA | 2.07 | 1.08 |
1.08 |
Washington | 0% | 500 | |
Sioux City–Vermillion, IA–SD–NE | 1.85 | 0.94 |
0.98 |
Iowa,Nebraska,South Dakota | 100% | 512 | |
South Bend–Elkhart–Mishawaka, IN–MI | 1.59 | 1.04 |
1.04 |
Indiana,Michigan | 64% | 515 | |
Spokane–Spokane Valley–Coeur d'Alene, WA–ID | 1.86 | 1.08 |
1.11 |
Idaho,Washington | 0% | 518 | |
Springfield–Branson, MO | 1.45 | 0.93 |
1.03 |
Missouri | 86% | 520 | |
Springfield–Greenfield Town, MA | 4.22 | 1.00 |
1.00 |
Massachusetts | 93% | 521 | |
Springfield–Jacksonville–Lincoln, IL | 1.34 | 0.87 |
0.93 |
Illinois | 100% | 522 | |
State College–DuBois, PA | 1.41 | 1.05 |
1.05 |
Pennsylvania | 50% | 524 | |
Steamboat Springs–Craig, CO | 1.51 | 1.05 |
1.05 |
Colorado | 71% | 525 | |
Syracuse–Auburn, NY | 3.43 | 0.95 |
0.99 |
New York | 100% | 532 | |
Tallahassee–Bainbridge, FL–GA | 1.47 | 1.30 |
1.30 |
Florida,Georgia | 36% | 533 | |
Toledo–Port Clinton, OH | 2.15 | 0.99 |
0.99 |
Ohio | 100% | 534 | |
Tucson–Nogales, AZ | 1.79 | 1.25 |
1.25 |
Arizona | 0% | 536 | |
Tulsa–Muskogee–Bartlesville, OK | 2.01 | 1.05 |
1.05 |
Oklahoma | 79% | 538 | |
Tyler–Jacksonville, TX | 1.55 | 1.08 |
1.08 |
Texas | 86% | 540 | |
Victoria–Port Lavaca, TX | 1.49 | 0.71 |
0.73 |
Texas | 100% | 544 | |
Virginia Beach–Norfolk, VA–NC | 1.65 | 0.93 |
0.93 |
North Carolina,Virginia | 100% | 545 | |
Visalia–Porterville–Hanford, CA | 1.49 | 1.07 |
1.07 |
California | 29% | 546 | |
Washington–Baltimore–Arlington, DC–MD–VA–WV–PA | 2.72 | 0.99 |
0.99 |
District of Columbia,Maryland,Pennsylvania,Virginia,West Virginia | 100% | 548 | |
Wausau–Stevens Point–Wisconsin Rapids, WI | 1.40 | 1.07 |
1.07 |
Wisconsin | 71% | 554 | |
Wichita–Arkansas City–Winfield, KS | 1.51 | 1.18 |
1.18 |
Kansas | 50% | 556 | |
Williamsport–Lock Haven, PA | 1.39 | 1.14 |
1.14 |
Pennsylvania | 0% | 558 | |
Youngstown–Warren, OH–PA | 1.93 | 0.97 |
0.97 |
Ohio,Pennsylvania | 100% | 566 |
Highest CRRI and Re in Last 2 Weeks for the 60 Most Populous CBSA
Re is an epidemiological measure of the rate of spread of theepidemic. Values less than one represent decreasing case counts, while values greater than one representincreasing case counts. Clicking on a bar will open the summary plot for that core-based statistical area (CBSA).
The White House recommends that states have consistently declining case counts for 2 weeks before reopening. States meeting this criterion have a Cerner Resurgence Risk Index (CRRI) of 1 and shown in blue, and states that are close to meeting this criterion have a CRRI of 2 and are shown in purple.
Historical Cerner Resurgence Risk Index for the 60 Most Populous CBSA
This plot shows the historical CRRI in each CBSA since March, sorted by CRRI scores over the last 2 weeks.
Clicking on a bar or slot will open the summary plot for that core-based statistical area (CBSA)
Resurgence Data by CBSA
Use the historical trends and forecasts to view detailed graphs for CBSA of interest. Use the "Search" box to explore CBSA of interest further and to find CBSA not displayed in the charts above.CBSA Name | R0 | Re | Re 2 Wk High | States | Recent Days Re < 1.0 | Past Data | Forecast | |
---|---|---|---|---|---|---|---|
Albertville, AL μSA | 1.50 | 1.34 |
1.34 |
Alabama | 43% | 10700 | |
Alexander City, AL μSA | 1.42 | 1.19 |
1.19 |
Alabama | 64% | 10760 | |
Anniston–Oxford–Jacksonville, AL MSA | 1.36 | 0.99 |
0.99 |
Alabama | 100% | 11500 | |
Atmore, AL μSA | 1.36 | 1.36 |
1.36 |
Alabama | 0% | 12120 | |
Auburn–Opelika, AL MSA | 2.44 | 2.41 |
2.44 |
Alabama | 0% | 12220 | |
Birmingham–Hoover, AL MSA | 1.90 | 1.35 |
1.35 |
Alabama | 21% | 13820 | |
Bullock County, AL | 1.99 | 1.07 |
1.07 |
Alabama | 36% | CN0101100000000 | |
Butler County, AL | 1.92 | 1.81 |
1.81 |
Alabama | 21% | CN0101300000000 | |
Cherokee County, AL | 1.32 | 1.32 |
1.32 |
Alabama | 29% | CN0101900000000 | |
Choctaw County, AL | 1.94 | 0.84 |
0.87 |
Alabama | 100% | CN0102300000000 | |
Clarke County, AL | 1.73 | 1.24 |
1.29 |
Alabama | 29% | CN0102500000000 | |
Clay County, AL | 1.52 | 1.51 |
1.52 |
Alabama | 29% | CN0102700000000 | |
Cleburne County, AL | 1.52 | 0.89 |
0.89 |
Alabama | 100% | CN0102900000000 | |
Columbus, GA–AL MSA | 1.48 | 1.42 |
1.42 |
Alabama,Georgia | 0% | 17980 | |
Conecuh County, AL | 1.64 | 1.27 |
1.27 |
Alabama | 21% | CN0103500000000 | |
Covington County, AL | 1.43 | 1.08 |
1.08 |
Alabama | 71% | CN0103900000000 | |
Crenshaw County, AL | 1.90 | 1.26 |
1.32 |
Alabama | 0% | CN0104100000000 | |
Cullman, AL μSA | 1.45 | 1.22 |
1.22 |
Alabama | 50% | 18980 | |
Daphne–Fairhope–Foley, AL MSA | 1.47 | 0.78 |
0.84 |
Alabama | 100% | 19300 | |
Decatur, AL MSA | 1.86 | 1.86 |
1.86 |
Alabama | 14% | 19460 | |
Dothan, AL MSA | 1.66 | 1.23 |
1.23 |
Alabama | 64% | 20020 | |
Enterprise, AL μSA | 1.31 | 1.16 |
1.16 |
Alabama | 79% | 21460 | |
Eufaula, AL–GA μSA | 1.43 | 1.24 |
1.31 |
Alabama,Georgia | 29% | 21640 | |
Fayette County, AL | 1.58 | 1.58 |
1.58 |
Alabama | 7% | CN0105700000000 | |
Florence–Muscle Shoals, AL MSA | 1.53 | 1.53 |
1.53 |
Alabama | 7% | 22520 | |
Fort Payne, AL μSA | 1.37 | 1.37 |
1.37 |
Alabama | 36% | 22840 | |
Franklin County, AL | 1.76 | 1.76 |
1.76 |
Alabama | 36% | CN0105900000000 | |
Gadsden, AL MSA | 1.39 | 1.25 |
1.25 |
Alabama | 50% | 23460 | |
Greene County, AL | 1.40 | 1.01 |
1.05 |
Alabama | 36% | CN0106300000000 | |
Huntsville, AL MSA | 1.57 | 1.22 |
1.22 |
Alabama | 50% | 26620 | |
Lamar County, AL | 1.58 | 1.27 |
1.27 |
Alabama | 0% | CN0107500000000 | |
Macon County, AL | 1.60 | 1.60 |
1.60 |
Alabama | 0% | CN0108700000000 | |
Marengo County, AL | 1.83 | 0.94 |
1.17 |
Alabama | 21% | CN0109100000000 | |
Marion County, AL | 2.00 | 2.00 |
2.00 |
Alabama | 14% | CN0109300000000 | |
Mobile, AL MSA | 1.89 | 1.01 |
1.05 |
Alabama | 7% | 33660 | |
Monroe County, AL | 1.75 | 0.89 |
0.90 |
Alabama | 100% | CN0109900000000 | |
Montgomery, AL MSA | 1.46 | 1.27 |
1.27 |
Alabama | 14% | 33860 | |
Ozark, AL μSA | 1.38 | 1.31 |
1.31 |
Alabama | 57% | 37120 | |
Perry County, AL | 1.42 | 1.22 |
1.26 |
Alabama | 7% | CN0110500000000 | |
Randolph County, AL | 1.76 | 1.12 |
1.12 |
Alabama | 71% | CN0111100000000 | |
Scottsboro, AL μSA | 1.39 | 1.39 |
1.39 |
Alabama | 43% | 42460 | |
Selma, AL μSA | 1.66 | 1.65 |
1.66 |
Alabama | 0% | 42820 | |
Sumter County, AL | 1.44 | 0.91 |
1.08 |
Alabama | 50% | CN0111900000000 | |
Talladega–Sylacauga, AL μSA | 1.36 | 1.02 |
1.02 |
Alabama | 86% | 45180 | |
Troy, AL μSA | 2.17 | 2.15 |
2.17 |
Alabama | 0% | 45980 | |
Tuscaloosa, AL MSA | 1.44 | 0.97 |
0.97 |
Alabama | 100% | 46220 | |
Valley, AL μSA | 1.93 | 1.93 |
1.93 |
Alabama | 14% | 46740 | |
Washington County, AL | 1.76 | 1.06 |
1.15 |
Alabama | 36% | CN0112900000000 | |
Wilcox County, AL | 1.67 | 1.12 |
1.17 |
Alabama | 29% | CN0113100000000 | |
Winston County, AL | 1.49 | 1.49 |
1.49 |
Alabama | 43% | CN0113300000000 | |
Aleutians East Borough, AK | 2.06 | 1.02 |
1.02 |
Alaska | 57% | CN0201300000000 | |
Aleutians West Census Area, AK | 2.10 | 0.96 |
0.96 |
Alaska | 100% | CN0201600000000 | |
Anchorage, AK MSA | 1.55 | 0.97 |
0.97 |
Alaska | 100% | 11260 | |
Bethel Census Area, AK | 1.71 | 0.80 |
0.93 |
Alaska | 100% | CN0205000000000 | |
Denali Borough, AK | 1.00 | 1.00 |
1.00 |
Alaska | 29% | CN0206800000000 | |
Dillingham Census Area, AK | 1.37 | 1.24 |
1.25 |
Alaska | 0% | CN0207000000000 | |
Fairbanks, AK MSA | 1.58 | 0.94 |
0.94 |
Alaska | 100% | 21820 | |
Haines Borough, AK | 1.91 | 0.98 |
0.98 |
Alaska | 100% | CN0210000000000 | |
Juneau, AK μSA | 1.81 | 0.91 |
0.97 |
Alaska | 100% | 27940 | |
Kenai Peninsula Borough, AK | 1.91 | 1.03 |
1.03 |
Alaska | 57% | CN0212200000000 | |
Ketchikan, AK μSA | 1.77 | 1.16 |
1.19 |
Alaska | 21% | 28540 | |
Kodiak Island Borough, AK | 1.80 | 1.03 |
1.04 |
Alaska | 64% | CN0215000000000 | |
Kusilvak Census Area, AK | 2.26 | 0.79 |
1.15 |
Alaska | 71% | CN0215800000000 | |
Nome Census Area, AK | 1.65 | 1.18 |
1.24 |
Alaska | 0% | CN0218000000000 | |
North Slope Borough, AK | 1.52 | 1.02 |
1.04 |
Alaska | 50% | CN0218500000000 | |
Northwest Arctic Borough, AK | 1.97 | 0.89 |
0.91 |
Alaska | 100% | CN0218800000000 | |
Petersburg Borough, AK | 1.88 | 1.03 |
1.03 |
Alaska | 93% | CN0219500000000 | |
Prince of Wales–Hyder Census Area, AK | 1.35 | 1.20 |
1.21 |
Alaska | 21% | CN0219800000000 | |
Sitka Borough/city, AK | 2.02 | 1.24 |
1.30 |
Alaska | 21% | CN0222000000000 | |
Southeast Fairbanks Census Area, AK | 1.54 | 1.20 |
1.20 |
Alaska | 14% | CN0224000000000 | |
Wrangell Borough/city, AK | 1.23 | 1.23 |
1.23 |
Alaska | 0% | CN0227500000000 | |
Yakutat Borough/city, AK | 1.33 | 0.75 |
0.80 |
Alaska | 100% | CN0228200000000 | |
Yukon–Koyukuk Census Area, AK | 1.52 | 1.18 |
1.18 |
Alaska | 71% | CN0229000000000 | |
Apache County, AZ | 1.77 | 1.69 |
1.77 |
Arizona | 0% | CN0400100000000 | |
Flagstaff, AZ MSA | 1.55 | 1.26 |
1.26 |
Arizona | 0% | 22380 | |
Greenlee County, AZ | 1.56 | 1.17 |
1.19 |
Arizona | 14% | CN0401100000000 | |
La Paz County, AZ | 1.81 | 1.15 |
1.23 |
Arizona | 0% | CN0401200000000 | |
Lake Havasu City–Kingman, AZ MSA | 1.34 | 1.12 |
1.12 |
Arizona | 7% | 29420 | |
Nogales, AZ μSA | 1.43 | 1.40 |
1.43 |
Arizona | 0% | 35700 | |
Payson, AZ μSA | 1.48 | 1.24 |
1.37 |
Arizona | 0% | 37740 | |
Phoenix–Mesa–Scottsdale, AZ MSA | 2.15 | 1.17 |
1.17 |
Arizona | 14% | 38060 | |
Prescott, AZ MSA | 1.47 | 1.04 |
1.10 |
Arizona | 0% | 39140 | |
Safford, AZ μSA | 1.55 | 1.06 |
1.30 |
Arizona | 0% | 40940 | |
Show Low, AZ μSA | 1.98 | 1.34 |
1.37 |
Arizona | 0% | 43320 | |
Sierra Vista–Douglas, AZ MSA | 1.33 | 1.16 |
1.16 |
Arizona | 0% | 43420 | |
Tucson, AZ MSA | 1.79 | 1.25 |
1.25 |
Arizona | 0% | 46060 | |
Yuma, AZ MSA | 1.44 | 1.34 |
1.34 |
Arizona | 29% | 49740 | |
Arkadelphia, AR μSA | 1.39 | 1.17 |
1.24 |
Arkansas | 0% | 11660 | |
Arkansas County, AR | 1.65 | 1.24 |
1.30 |
Arkansas | 29% | CN0500100000000 | |
Ashley County, AR | 1.59 | 0.92 |
0.92 |
Arkansas | 100% | CN0500300000000 | |
Batesville, AR μSA | 1.39 | 1.13 |
1.13 |
Arkansas | 71% | 12900 | |
Blytheville, AR μSA | 1.25 | 0.88 |
0.88 |
Arkansas | 100% | 14180 | |
Bradley County, AR | 1.65 | 1.19 |
1.23 |
Arkansas | 0% | CN0501100000000 | |
Camden, AR μSA | 1.40 | 0.95 |
0.99 |
Arkansas | 100% | 15780 | |
Carroll County, AR | 1.61 | 0.75 |
1.29 |
Arkansas | 50% | CN0501500000000 | |
Chicot County, AR | 1.69 | 1.07 |
1.11 |
Arkansas | 29% | CN0501700000000 | |
Clay County, AR | 1.44 | 0.90 |
0.96 |
Arkansas | 100% | CN0502100000000 | |
Cleburne County, AR | 1.54 | 0.85 |
1.00 |
Arkansas | 100% | CN0502300000000 | |
Conway County, AR | 1.65 | 1.19 |
1.36 |
Arkansas | 0% | CN0502900000000 | |
Cross County, AR | 1.49 | 0.63 |
1.05 |
Arkansas | 79% | CN0503700000000 | |
Dallas County, AR | 1.64 | 1.02 |
1.10 |
Arkansas | 0% | CN0503900000000 | |
Desha County, AR | 1.43 | 1.10 |
1.10 |
Arkansas | 79% | CN0504100000000 | |
Drew County, AR | 1.55 | 0.96 |
0.96 |
Arkansas | 100% | CN0504300000000 | |
El Dorado, AR μSA | 1.24 | 0.68 |
1.01 |
Arkansas | 93% | 20980 | |
Fayetteville–Springdale–Rogers, AR–MO MSA | 1.61 | 1.02 |
1.02 |
Arkansas,Missouri | 86% | 22220 | |
Forrest City, AR μSA | 2.15 | 1.26 |
1.26 |
Arkansas | 43% | 22620 | |
Fort Smith, AR–OK MSA | 1.40 | 0.98 |
0.99 |
Arkansas,Oklahoma | 100% | 22900 | |
Franklin County, AR | 1.40 | 1.01 |
1.07 |
Arkansas | 50% | CN0504700000000 | |
Fulton County, AR | 1.48 | 1.39 |
1.48 |
Arkansas | 21% | CN0504900000000 | |
Harrison, AR μSA | 1.29 | 1.05 |
1.07 |
Arkansas | 64% | 25460 | |
Helena–West Helena, AR μSA | 1.79 | 0.89 |
0.90 |
Arkansas | 100% | 25760 | |
Hope, AR μSA | 1.99 | 1.02 |
1.03 |
Arkansas | 36% | 26260 | |
Hot Springs, AR MSA | 1.27 | 0.97 |
0.97 |
Arkansas | 100% | 26300 | |
Howard County, AR | 1.39 | 0.97 |
1.04 |
Arkansas | 43% | CN0506100000000 | |
Izard County, AR | 1.66 | 0.73 |
1.01 |
Arkansas | 93% | CN0506500000000 | |
Jackson County, AR | 1.84 | 0.89 |
1.31 |
Arkansas | 29% | CN0506700000000 | |
Johnson County, AR | 1.49 | 0.90 |
0.90 |
Arkansas | 100% | CN0507100000000 | |
Jonesboro, AR MSA | 1.30 | 0.90 |
0.90 |
Arkansas | 100% | 27860 | |
Lafayette County, AR | 1.16 | 1.03 |
1.03 |
Arkansas | 64% | CN0507300000000 | |
Lawrence County, AR | 1.59 | 0.96 |
0.96 |
Arkansas | 100% | CN0507500000000 | |
Lee County, AR | 2.93 | 1.19 |
1.19 |
Arkansas | 0% | CN0507700000000 | |
Little Rock–North Little Rock–Conway, AR MSA | 1.31 | 0.94 |
0.96 |
Arkansas | 100% | 30780 | |
Logan County, AR | 1.68 | 0.94 |
0.97 |
Arkansas | 100% | CN0508300000000 | |
Magnolia, AR μSA | 1.67 | 0.85 |
0.89 |
Arkansas | 100% | 31620 | |
Malvern, AR μSA | 1.83 | 1.13 |
1.28 |
Arkansas | 0% | 31680 | |
Marion County, AR | 1.51 | 1.04 |
1.13 |
Arkansas | 36% | CN0508900000000 | |
Memphis, TN–MS–AR MSA | 2.14 | 0.95 |
0.95 |
Arkansas,Mississippi,Tennessee | 100% | 32820 | |
Monroe County, AR | 1.22 | 1.03 |
1.03 |
Arkansas | 36% | CN0509500000000 | |
Montgomery County, AR | 1.49 | 1.01 |
1.18 |
Arkansas | 0% | CN0509700000000 | |
Mountain Home, AR μSA | 1.45 | 1.45 |
1.45 |
Arkansas | 0% | 34260 | |
Paragould, AR μSA | 1.29 | 0.85 |
0.87 |
Arkansas | 100% | 37500 | |
Pike County, AR | 1.40 | 0.95 |
1.11 |
Arkansas | 71% | CN0510900000000 | |
Pine Bluff, AR MSA | 1.58 | 1.25 |
1.25 |
Arkansas | 14% | 38220 | |
Polk County, AR | 1.32 | 0.81 |
0.82 |
Arkansas | 100% | CN0511300000000 | |
Prairie County, AR | 1.34 | 1.07 |
1.11 |
Arkansas | 0% | CN0511700000000 | |
Randolph County, AR | 1.80 | 1.07 |
1.07 |
Arkansas | 50% | CN0512100000000 | |
Russellville, AR μSA | 1.53 | 0.93 |
1.00 |
Arkansas | 100% | 40780 | |
Scott County, AR | 1.59 | 0.97 |
0.98 |
Arkansas | 100% | CN0512700000000 | |
Searcy County, AR | 1.61 | 1.05 |
1.10 |
Arkansas | 0% | CN0512900000000 | |
Searcy, AR μSA | 1.33 | 1.02 |
1.02 |
Arkansas | 64% | 42620 | |
Sevier County, AR | 1.94 | 1.16 |
1.16 |
Arkansas | 21% | CN0513300000000 | |
Sharp County, AR | 1.32 | 1.04 |
1.06 |
Arkansas | 57% | CN0513500000000 | |
Stone County, AR | 1.78 | 0.94 |
1.00 |
Arkansas | 100% | CN0513700000000 | |
Texarkana, TX–AR MSA | 1.43 | 0.95 |
0.95 |
Arkansas,Texas | 100% | 45500 | |
Van Buren County, AR | 1.52 | 0.90 |
0.90 |
Arkansas | 100% | CN0514100000000 | |
Woodruff County, AR | 1.54 | 1.02 |
1.12 |
Arkansas | 7% | CN0514700000000 | |
Amador County, CA | 1.80 | 1.17 |
1.17 |
California | 43% | CN0600500000000 | |
Bakersfield, CA MSA | 1.74 | 1.09 |
1.09 |
California | 14% | 12540 | |
Calaveras County, CA | 1.92 | 1.32 |
1.33 |
California | 29% | CN0600900000000 | |
Chico, CA MSA | 1.25 | 1.01 |
1.01 |
California | 86% | 17020 | |
Clearlake, CA μSA | 1.29 | 1.21 |
1.21 |
California | 29% | 17340 | |
Colusa County, CA | 1.93 | 1.07 |
1.40 |
California | 0% | CN0601100000000 | |
Crescent City, CA μSA | 1.71 | 1.32 |
1.34 |
California | 36% | 18860 | |
El Centro, CA MSA | 1.43 | 1.06 |
1.08 |
California | 0% | 20940 | |
Eureka–Arcata–Fortuna, CA μSA | 1.23 | 0.95 |
0.95 |
California | 100% | 21700 | |
Fresno, CA MSA | 1.49 | 1.19 |
1.19 |
California | 14% | 23420 | |
Glenn County, CA | 1.58 | 1.07 |
1.09 |
California | 0% | CN0602100000000 | |
Hanford–Corcoran, CA MSA | 1.49 | 1.19 |
1.19 |
California | 14% | 25260 | |
Inyo County, CA | 1.65 | 1.14 |
1.35 |
California | 0% | CN0602700000000 | |
Los Angeles–Long Beach–Anaheim, CA MSA | 2.18 | 1.06 |
1.06 |
California | 21% | 31080 | |
Madera, CA MSA | 1.52 | 1.14 |
1.14 |
California | 21% | 31460 | |
Mariposa County, CA | 1.58 | 0.85 |
1.05 |
California | 71% | CN0604300000000 | |
Merced, CA MSA | 1.58 | 1.21 |
1.21 |
California | 14% | 32900 | |
Modesto, CA MSA | 1.53 | 1.02 |
1.03 |
California | 36% | 33700 | |
Modoc County, CA | 1.40 | 0.93 |
1.32 |
California | 36% | CN0604900000000 | |
Mono County, CA | 2.12 | 1.04 |
1.04 |
California | 79% | CN0605100000000 | |
Napa, CA MSA | 1.24 | 0.99 |
1.00 |
California | 93% | 34900 | |
Oxnard–Thousand Oaks–Ventura, CA MSA | 1.62 | 1.01 |
1.01 |
California | 93% | 37100 | |
Plumas County, CA | 1.36 | 0.86 |
1.07 |
California | 86% | CN0606300000000 | |
Red Bluff, CA μSA | 1.29 | 0.99 |
1.01 |
California | 86% | 39780 | |
Redding, CA MSA | 1.35 | 1.04 |
1.04 |
California | 36% | 39820 | |
Riverside–San Bernardino–Ontario, CA MSA | 2.15 | 1.13 |
1.13 |
California | 36% | 40140 | |
Sacramento—Roseville—Arden–Arcade, CA MSA | 1.74 | 1.20 |
1.20 |
California | 21% | 40900 | |
Salinas, CA MSA | 1.67 | 1.18 |
1.18 |
California | 64% | 41500 | |
San Diego–Carlsbad, CA MSA | 1.81 | 1.17 |
1.17 |
California | 21% | 41740 | |
San Francisco–Oakland–Hayward, CA MSA | 2.06 | 1.06 |
1.06 |
California | 71% | 41860 | |
San Jose–Sunnyvale–Santa Clara, CA MSA | 1.86 | 1.08 |
1.08 |
California | 21% | 41940 | |
San Luis Obispo–Paso Robles–Arroyo Grande, CA MSA | 1.77 | 1.06 |
1.06 |
California | 43% | 42020 | |
Santa Cruz–Watsonville, CA MSA | 1.31 | 1.10 |
1.10 |
California | 43% | 42100 | |
Santa Maria–Santa Barbara, CA MSA | 2.05 | 1.04 |
1.04 |
California | 71% | 42200 | |
Santa Rosa, CA MSA | 1.42 | 1.18 |
1.18 |
California | 36% | 42220 | |
Siskiyou County, CA | 1.62 | 0.72 |
0.85 |
California | 100% | CN0609300000000 | |
Sonora, CA μSA | 1.94 | 1.27 |
1.27 |
California | 0% | 43760 | |
Stockton–Lodi, CA MSA | 1.53 | 1.09 |
1.09 |
California | 50% | 44700 | |
Susanville, CA μSA | 2.69 | 1.25 |
1.25 |
California | 0% | 45000 | |
Trinity County, CA | 1.43 | 0.70 |
0.76 |
California | 100% | CN0610500000000 | |
Truckee–Grass Valley, CA μSA | 1.54 | 1.13 |
1.13 |
California | 36% | 46020 | |
Ukiah, CA μSA | 1.57 | 1.02 |
1.02 |
California | 50% | 46380 | |
Vallejo–Fairfield, CA MSA | 1.48 | 1.15 |
1.15 |
California | 57% | 46700 | |
Visalia–Porterville, CA MSA | 1.49 | 1.05 |
1.05 |
California | 36% | 47300 | |
Yuba City, CA MSA | 1.33 | 1.05 |
1.05 |
California | 71% | 49700 | |
Alamosa–Conejos, CO LMA | 1.57 | 1.00 |
1.00 |
Colorado | 93% | 80140 | |
Archuleta County, CO | 1.72 | 1.16 |
1.28 |
Colorado | 0% | CN0800700000000 | |
Baca County, CO | 1.74 | 0.90 |
1.25 |
Colorado | 21% | CN0800900000000 | |
Bent County, CO | 1.99 | 1.07 |
1.31 |
Colorado | 0% | CN0801100000000 | |
Boulder, CO MSA | 1.61 | 1.05 |
1.05 |
Colorado | 57% | 14500 | |
Breckenridge, CO μSA | 1.72 | 0.94 |
1.00 |
Colorado | 93% | 14720 | |
Canon City, CO μSA | 2.45 | 1.12 |
1.12 |
Colorado | 0% | 15860 | |
Chaffee County, CO | 2.10 | 1.26 |
1.32 |
Colorado | 0% | CN0801500000000 | |
Cheyenne County, CO | 1.13 | 1.06 |
1.13 |
Colorado | 0% | CN0801700000000 | |
Colorado Springs, CO MSA | 1.89 | 1.10 |
1.10 |
Colorado | 0% | 17820 | |
Costilla County, CO | 0.93 | 0.91 |
0.93 |
Colorado | 36% | CN0802300000000 | |
Craig, CO μSA | 1.79 | 0.84 |
0.84 |
Colorado | 100% | 18780 | |
Custer County, CO | 1.15 | 1.13 |
1.15 |
Colorado | 0% | CN0802700000000 | |
Delta County, CO | 1.70 | 0.96 |
1.21 |
Colorado | 64% | CN0802900000000 | |
Denver–Aurora–Lakewood, CO MSA | 2.45 | 1.16 |
1.16 |
Colorado | 0% | 19740 | |
Dolores County, CO | 0.89 | 0.89 |
0.89 |
Colorado | 36% | CN0803300000000 | |
Durango, CO μSA | 1.50 | 1.16 |
1.17 |
Colorado | 14% | 20420 | |
Edwards, CO μSA | 2.22 | 1.13 |
1.13 |
Colorado | 0% | 20780 | |
Fort Collins, CO MSA | 1.49 | 1.15 |
1.15 |
Colorado | 0% | 22660 | |
Fort Morgan, CO μSA | 1.99 | 1.20 |
1.32 |
Colorado | 0% | 22820 | |
Glenwood Springs, CO μSA | 1.41 | 1.07 |
1.07 |
Colorado | 7% | 24060 | |
Grand County, CO | 1.55 | 0.83 |
0.91 |
Colorado | 100% | CN0804900000000 | |
Grand Junction, CO MSA | 1.27 | 1.05 |
1.05 |
Colorado | 0% | 24300 | |
Greeley, CO MSA | 2.24 | 1.16 |
1.16 |
Colorado | 0% | 24540 | |
Gunnison County, CO | 1.72 | 1.13 |
1.14 |
Colorado | 71% | CN0805100000000 | |
Huerfano County, CO | 1.38 | 1.37 |
1.38 |
Colorado | 0% | CN0805500000000 | |
Jackson County, CO | 1.01 | 0.99 |
1.01 |
Colorado | 29% | CN0805700000000 | |
Kiowa County, CO | 1.91 | 0.80 |
1.88 |
Colorado | 36% | CN0806100000000 | |
Kit Carson County, CO | 1.44 | 0.88 |
1.15 |
Colorado | 36% | CN0806300000000 | |
Lake County, CO | 1.67 | 0.97 |
1.40 |
Colorado | 21% | CN0806500000000 | |
Las Animas County, CO | 1.58 | 1.17 |
1.27 |
Colorado | 0% | CN0807100000000 | |
Lincoln County, CO | 2.13 | 0.88 |
1.01 |
Colorado | 93% | CN0807300000000 | |
Mineral County, CO | 1.00 | 1.00 |
1.00 |
Colorado | 7% | CN0807900000000 | |
Montezuma County, CO | 1.51 | 1.25 |
1.25 |
Colorado | 0% | CN0808300000000 | |
Montrose, CO μSA | 1.53 | 1.10 |
1.13 |
Colorado | 0% | 33940 | |
Otero–Crowley, CO LMA | 1.40 | 0.84 |
1.35 |
Colorado | 50% | 82100 | |
Ouray County, CO | 1.46 | 1.23 |
1.25 |
Colorado | 0% | CN0809100000000 | |
Phillips County, CO | 1.55 | 1.16 |
1.16 |
Colorado | 0% | CN0809500000000 | |
Prowers County, CO | 1.81 | 1.16 |
1.28 |
Colorado | 0% | CN0809900000000 | |
Pueblo, CO MSA | 1.47 | 1.22 |
1.22 |
Colorado | 0% | 39380 | |
Rio Blanco County, CO | 1.50 | 1.36 |
1.36 |
Colorado | 0% | CN0810300000000 | |
Rio Grande County, CO | 1.59 | 0.90 |
0.90 |
Colorado | 100% | CN0810500000000 | |
Saguache County, CO | 1.77 | 0.98 |
1.00 |
Colorado | 93% | CN0810900000000 | |
San Miguel County, CO | 1.69 | 0.91 |
0.91 |
Colorado | 100% | CN0811300000000 | |
Sedgwick County, CO | 0.97 | 0.89 |
0.97 |
Colorado | 36% | CN0811500000000 | |
Steamboat Springs, CO μSA | 1.57 | 1.09 |
1.11 |
Colorado | 21% | 44460 | |
Sterling, CO μSA | 2.77 | 1.22 |
1.22 |
Colorado | 0% | 44540 | |
Washington County, CO | 1.41 | 0.93 |
1.30 |
Colorado | 29% | CN0812100000000 | |
Yuma County, CO | 1.44 | 0.97 |
1.13 |
Colorado | 79% | CN0812500000000 | |
Bridgeport–Stamford–Norwalk, CT MNECTA | 4.37 | 0.87 |
0.99 |
Connecticut | 100% | 71950 | |
Danbury, CT MNECTA | 4.06 | 0.84 |
0.96 |
Connecticut | 100% | 72850 | |
Hampton, CT LMA | 1.27 | 0.92 |
0.99 |
Connecticut | 100% | 81220 | |
Hartford–West Hartford–East Hartford, CT MNECTA | 2.96 | 0.85 |
1.04 |
Connecticut | 64% | 73450 | |
Litchfield, CT LMA | 1.85 | 0.79 |
1.06 |
Connecticut | 79% | 81580 | |
New Haven, CT MNECTA | 3.44 | 0.88 |
1.00 |
Connecticut | 100% | 75700 | |
Norwich–New London–Westerly, CT–RI MNECTA | 1.61 | 0.96 |
0.97 |
Connecticut,Rhode Island | 100% | 76450 | |
Springfield, MA–CT MNECTA | 4.68 | 0.94 |
1.01 |
Connecticut,Massachusetts | 71% | 78100 | |
Torrington, CT μNECTA | 1.86 | 0.98 |
1.05 |
Connecticut | 79% | 78400 | |
Waterbury, CT MNECTA | 2.67 | 0.87 |
1.02 |
Connecticut | 79% | 78700 | |
Worcester, MA–CT MNECTA | 2.34 | 0.94 |
0.98 |
Connecticut,Massachusetts | 100% | 79600 | |
Dover, DE MSA | 1.75 | 1.02 |
1.02 |
Delaware | 86% | 20100 | |
Philadelphia–Camden–Wilmington, PA–NJ–DE–MD MSA | 2.96 | 0.97 |
0.98 |
Delaware,Maryland,New Jersey,Pennsylvania | 100% | 37980 | |
Salisbury, MD–DE MSA | 2.05 | 0.94 |
0.94 |
Delaware,Maryland | 100% | 41540 | |
Washington–Arlington–Alexandria, DC–VA–MD–WV MSA | 2.59 | 0.97 |
0.97 |
District of Columbia,Maryland,Virginia,West Virginia | 100% | 47900 | |
Arcadia, FL μSA | 2.05 | 1.37 |
1.37 |
Florida | 36% | 11580 | |
Bradford County, FL | 1.69 | 1.00 |
1.02 |
Florida | 86% | CN1200700000000 | |
Calhoun County, FL | 1.70 | 1.06 |
1.11 |
Florida | 50% | CN1201300000000 | |
Cape Coral–Fort Myers, FL MSA | 1.63 | 1.23 |
1.23 |
Florida | 57% | 15980 | |
Clewiston, FL μSA | 1.42 | 1.03 |
1.19 |
Florida | 29% | 17500 | |
Crestview–Fort Walton Beach–Destin, FL MSA | 1.26 | 1.26 |
1.26 |
Florida | 50% | 18880 | |
Deltona–Daytona Beach–Ormond Beach, FL MSA | 1.52 | 1.40 |
1.40 |
Florida | 29% | 19660 | |
Dixie County, FL | 1.73 | 0.89 |
0.92 |
Florida | 100% | CN1202900000000 | |
Franklin County, FL | 2.00 | 1.05 |
1.05 |
Florida | 71% | CN1203700000000 | |
Gainesville, FL MSA | 1.41 | 1.33 |
1.33 |
Florida | 36% | 23540 | |
Glades County, FL | 1.74 | 1.20 |
1.20 |
Florida | 29% | CN1204300000000 | |
Hamilton County, FL | 2.41 | 1.32 |
1.39 |
Florida | 0% | CN1204700000000 | |
Holmes County, FL | 2.27 | 1.02 |
1.12 |
Florida | 36% | CN1205900000000 | |
Homosassa Springs, FL MSA | 1.35 | 0.90 |
0.97 |
Florida | 100% | 26140 | |
Jackson County, FL | 1.57 | 1.11 |
1.14 |
Florida | 57% | CN1206300000000 | |
Jacksonville, FL MSA | 1.73 | 1.18 |
1.18 |
Florida | 57% | 27260 | |
Key West, FL μSA | 1.68 | 1.44 |
1.44 |
Florida | 29% | 28580 | |
Lafayette County, FL | 2.79 | 1.65 |
1.68 |
Florida | 0% | CN1206700000000 | |
Lake City, FL μSA | 1.64 | 1.64 |
1.64 |
Florida | 57% | 29380 | |
Lakeland–Winter Haven, FL MSA | 1.48 | 1.28 |
1.28 |
Florida | 50% | 29460 | |
Levy County, FL | 1.83 | 1.43 |
1.43 |
Florida | 36% | CN1207500000000 | |
Liberty County, FL | 2.48 | 1.55 |
1.55 |
Florida | 29% | CN1207700000000 | |
Madison County, FL | 1.92 | 1.23 |
1.23 |
Florida | 50% | CN1207900000000 | |
Miami–Fort Lauderdale–West Palm Beach, FL MSA | 3.07 | 1.28 |
1.28 |
Florida | 43% | 33100 | |
Naples–Immokalee–Marco Island, FL MSA | 1.51 | 1.18 |
1.18 |
Florida | 64% | 34940 | |
North Port–Sarasota–Bradenton, FL MSA | 1.73 | 1.23 |
1.23 |
Florida | 50% | 35840 | |
Ocala, FL MSA | 1.46 | 1.29 |
1.29 |
Florida | 43% | 36100 | |
Okeechobee, FL μSA | 1.54 | 1.05 |
1.21 |
Florida | 43% | 36380 | |
Orlando–Kissimmee–Sanford, FL MSA | 2.33 | 1.25 |
1.25 |
Florida | 43% | 36740 | |
Palatka, FL μSA | 1.32 | 1.10 |
1.10 |
Florida | 79% | 37260 | |
Palm Bay–Melbourne–Titusville, FL MSA | 1.52 | 1.27 |
1.27 |
Florida | 43% | 37340 | |
Panama City, FL MSA | 1.40 | 1.24 |
1.24 |
Florida | 50% | 37460 | |
Pensacola–Ferry Pass–Brent, FL MSA | 1.56 | 1.34 |
1.34 |
Florida | 36% | 37860 | |
Port St. Lucie, FL MSA | 1.89 | 1.18 |
1.18 |
Florida | 50% | 38940 | |
Punta Gorda, FL MSA | 1.33 | 1.31 |
1.31 |
Florida | 43% | 39460 | |
Sebastian–Vero Beach, FL MSA | 1.38 | 0.90 |
0.92 |
Florida | 100% | 42680 | |
Sebring, FL MSA | 1.29 | 1.10 |
1.12 |
Florida | 64% | 42700 | |
Suwannee County, FL | 1.51 | 1.20 |
1.20 |
Florida | 57% | CN1212100000000 | |
Tallahassee, FL MSA | 1.43 | 1.29 |
1.29 |
Florida | 43% | 45220 | |
Tampa–St. Petersburg–Clearwater, FL MSA | 1.71 | 1.27 |
1.27 |
Florida | 43% | 45300 | |
Taylor County, FL | 1.98 | 1.20 |
1.20 |
Florida | 64% | CN1212300000000 | |
The Villages, FL MSA | 1.54 | 1.42 |
1.42 |
Florida | 36% | 45540 | |
Union County, FL | 1.53 | 1.02 |
1.02 |
Florida | 71% | CN1212500000000 | |
Washington County, FL | 1.83 | 0.95 |
1.09 |
Florida | 71% | CN1213300000000 | |
Wauchula, FL μSA | 1.58 | 0.83 |
0.83 |
Florida | 100% | 48100 | |
Albany, GA MSA | 2.74 | 0.79 |
0.86 |
Georgia | 100% | 10500 | |
Americus, GA μSA | 1.64 | 1.03 |
1.04 |
Georgia | 71% | 11140 | |
Appling County, GA | 1.24 | 0.85 |
1.07 |
Georgia | 64% | CN1300100000000 | |
Athens–Clarke County, GA MSA | 1.37 | 0.98 |
0.98 |
Georgia | 100% | 12020 | |
Atkinson County, GA | 1.52 | 1.09 |
1.09 |
Georgia | 36% | CN1300300000000 | |
Atlanta–Sandy Springs–Roswell, GA MSA | 2.44 | 0.94 |
0.94 |
Georgia | 100% | 12060 | |
Augusta–Richmond County, GA–SC MSA | 1.57 | 0.87 |
0.87 |
Georgia,South Carolina | 100% | 12260 | |
Bacon County, GA | 2.86 | 1.42 |
1.42 |
Georgia | 21% | CN1300500000000 | |
Bainbridge, GA μSA | 2.19 | 0.80 |
0.80 |
Georgia | 100% | 12460 | |
Banks County, GA | 1.32 | 1.27 |
1.27 |
Georgia | 64% | CN1301100000000 | |
Berrien County, GA | 1.79 | 1.05 |
1.05 |
Georgia | 64% | CN1301900000000 | |
Bleckley County, GA | 1.81 | 1.05 |
1.13 |
Georgia | 7% | CN1302300000000 | |
Brunswick, GA MSA | 1.44 | 1.21 |
1.21 |
Georgia | 86% | 15260 | |
Calhoun County, GA | 1.53 | 1.11 |
1.22 |
Georgia | 0% | CN1303700000000 | |
Calhoun, GA μSA | 1.23 | 0.77 |
0.96 |
Georgia | 100% | 15660 | |
Candler County, GA | 1.49 | 1.10 |
1.10 |
Georgia | 29% | CN1304300000000 | |
Cedartown, GA μSA | 1.24 | 0.82 |
0.87 |
Georgia | 100% | 16340 | |
Charlton County, GA | 1.82 | 0.93 |
0.97 |
Georgia | 100% | CN1304900000000 | |
Chattanooga, TN–GA MSA | 1.36 | 1.01 |
1.01 |
Georgia,Tennessee | 86% | 16860 | |
Clay County, GA | 1.06 | 1.06 |
1.06 |
Georgia | 0% | CN1306100000000 | |
Clinch County, GA | 1.61 | 0.91 |
1.00 |
Georgia | 93% | CN1306500000000 | |
Cook County, GA | 1.81 | 1.14 |
1.23 |
Georgia | 43% | CN1307500000000 | |
Cordele, GA μSA | 1.41 | 0.93 |
0.94 |
Georgia | 100% | 18380 | |
Cornelia, GA μSA | 1.51 | 1.34 |
1.34 |
Georgia | 57% | 18460 | |
Dalton, GA MSA | 1.35 | 0.86 |
1.01 |
Georgia | 71% | 19140 | |
Dodge County, GA | 1.39 | 1.27 |
1.27 |
Georgia | 43% | CN1309100000000 | |
Dooly County, GA | 1.53 | 1.00 |
1.00 |
Georgia | 100% | CN1309300000000 | |
Douglas, GA μSA | 1.26 | 0.87 |
0.97 |
Georgia | 100% | 20060 | |
Dublin, GA μSA | 1.31 | 1.00 |
1.03 |
Georgia | 93% | 20140 | |
Early County, GA | 1.94 | 1.25 |
1.55 |
Georgia | 0% | CN1309900000000 | |
Elbert County, GA | 1.68 | 0.89 |
1.06 |
Georgia | 50% | CN1310500000000 | |
Emanuel County, GA | 1.30 | 0.91 |
0.91 |
Georgia | 100% | CN1310700000000 | |
Evans County, GA | 1.62 | 0.98 |
1.02 |
Georgia | 93% | CN1310900000000 | |
Fannin County, GA | 1.28 | 0.91 |
0.91 |
Georgia | 100% | CN1311100000000 | |
Fitzgerald, GA μSA | 1.33 | 0.96 |
1.17 |
Georgia | 21% | 22340 | |
Franklin County, GA | 2.02 | 0.79 |
0.79 |
Georgia | 100% | CN1311900000000 | |
Gainesville, GA MSA | 1.50 | 0.97 |
0.97 |
Georgia | 100% | 23580 | |
Gilmer County, GA | 1.39 | 1.09 |
1.09 |
Georgia | 64% | CN1312300000000 | |
Glascock County, GA | 1.65 | 1.06 |
1.06 |
Georgia | 21% | CN1312500000000 | |
Grady County, GA | 1.45 | 0.95 |
0.95 |
Georgia | 100% | CN1313100000000 | |
Greene–Wilkes–Taliaferro, GA LMA | 1.37 | 1.37 |
1.37 |
Georgia | 36% | 81140 | |
Hart County, GA | 1.36 | 0.88 |
1.04 |
Georgia | 79% | CN1314700000000 | |
Hinesville, GA MSA | 1.29 | 0.55 |
0.71 |
Georgia | 100% | 25980 | |
Irwin County, GA | 1.81 | 1.09 |
1.13 |
Georgia | 0% | CN1315500000000 | |
Jeff Davis County, GA | 1.62 | 0.89 |
1.15 |
Georgia | 43% | CN1316100000000 | |
Jefferson County, GA | 1.49 | 0.89 |
1.09 |
Georgia | 50% | CN1316300000000 | |
Jefferson, GA μSA | 1.21 | 0.79 |
0.87 |
Georgia | 100% | 27600 | |
Jenkins County, GA | 1.57 | 1.06 |
1.06 |
Georgia | 43% | CN1316500000000 | |
Jesup, GA μSA | 1.33 | 1.00 |
1.01 |
Georgia | 86% | 27700 | |
LaGrange, GA μSA | 1.29 | 1.18 |
1.18 |
Georgia | 57% | 29300 | |
Lumpkin County, GA | 1.22 | 0.95 |
0.95 |
Georgia | 100% | CN1318700000000 | |
Macon County, GA | 1.43 | 1.06 |
1.06 |
Georgia | 64% | CN1319300000000 | |
Macon–Bibb County, GA MSA | 1.36 | 0.70 |
0.97 |
Georgia | 100% | 31420 | |
Milledgeville, GA μSA | 1.42 | 1.14 |
1.14 |
Georgia | 0% | 33300 | |
Miller County, GA | 1.57 | 1.05 |
1.07 |
Georgia | 0% | CN1320100000000 | |
Mitchell County, GA | 1.34 | 0.91 |
0.99 |
Georgia | 100% | CN1320500000000 | |
Moultrie, GA μSA | 1.55 | 0.91 |
1.23 |
Georgia | 14% | 34220 | |
Putnam County, GA | 1.43 | 0.93 |
1.07 |
Georgia | 57% | CN1323700000000 | |
Rabun County, GA | 1.49 | 1.18 |
1.18 |
Georgia | 43% | CN1324100000000 | |
Randolph County, GA | 2.30 | 1.04 |
1.06 |
Georgia | 29% | CN1324300000000 | |
Rome, GA MSA | 1.53 | 0.80 |
0.90 |
Georgia | 100% | 40660 | |
St. Marys, GA μSA | 1.71 | 1.00 |
1.00 |
Georgia | 71% | 41220 | |
Savannah, GA MSA | 1.63 | 1.02 |
1.02 |
Georgia | 93% | 42340 | |
Screven County, GA | 1.42 | 1.27 |
1.29 |
Georgia | 36% | CN1325100000000 | |
Seminole County, GA | 1.60 | 1.19 |
1.19 |
Georgia | 0% | CN1325300000000 | |
Statesboro, GA μSA | 1.36 | 0.83 |
0.83 |
Georgia | 100% | 44340 | |
Stewart County, GA | 1.95 | 1.05 |
1.05 |
Georgia | 64% | CN1325900000000 | |
Summerville, GA μSA | 1.28 | 0.72 |
0.85 |
Georgia | 100% | 44900 | |
Talbot County, GA | 1.37 | 1.07 |
1.07 |
Georgia | 29% | CN1326300000000 | |
Tattnall County, GA | 1.30 | 0.93 |
0.93 |
Georgia | 100% | CN1326700000000 | |
Taylor County, GA | 1.77 | 1.06 |
1.06 |
Georgia | 29% | CN1326900000000 | |
Telfair County, GA | 1.59 | 0.97 |
1.09 |
Georgia | 29% | CN1327100000000 | |
Thomaston, GA μSA | 1.74 | 0.90 |
0.98 |
Georgia | 100% | 45580 | |
Thomasville, GA μSA | 1.33 | 1.28 |
1.28 |
Georgia | 50% | 45620 | |
Tifton, GA μSA | 1.37 | 0.96 |
0.96 |
Georgia | 100% | 45700 | |
Toccoa, GA μSA | 1.25 | 1.17 |
1.17 |
Georgia | 64% | 45740 | |
Towns County, GA | 1.28 | 1.04 |
1.04 |
Georgia | 50% | CN1328100000000 | |
Treutlen County, GA | 1.55 | 1.04 |
1.11 |
Georgia | 0% | CN1328300000000 | |
Turner County, GA | 1.58 | 1.03 |
1.03 |
Georgia | 36% | CN1328700000000 | |
Union County, GA | 1.89 | 0.94 |
1.00 |
Georgia | 93% | CN1329100000000 | |
Valdosta, GA MSA | 1.40 | 0.86 |
0.91 |
Georgia | 100% | 46660 | |
Vidalia, GA μSA | 1.31 | 1.05 |
1.09 |
Georgia | 43% | 47080 | |
Warner Robins, GA MSA | 1.45 | 0.97 |
0.97 |
Georgia | 100% | 47580 | |
Warren County, GA | 1.49 | 1.05 |
1.05 |
Georgia | 43% | CN1330100000000 | |
Washington County, GA | 1.30 | 0.92 |
1.07 |
Georgia | 64% | CN1330300000000 | |
Waycross, GA μSA | 1.48 | 0.99 |
0.99 |
Georgia | 100% | 48180 | |
Webster County, GA | 1.01 | 1.01 |
1.01 |
Georgia | 7% | CN1330700000000 | |
Wheeler County, GA | 2.09 | 1.09 |
1.19 |
Georgia | 0% | CN1330900000000 | |
White County, GA | 1.31 | 0.92 |
0.93 |
Georgia | 100% | CN1331100000000 | |
Wilcox County, GA | 1.78 | 1.05 |
1.06 |
Georgia | 0% | CN1331500000000 | |
Wilkinson County, GA | 1.31 | 1.09 |
1.16 |
Georgia | 21% | CN1331900000000 | |
Hilo, HI μSA | 1.41 | 1.12 |
1.13 |
Hawaii | 36% | 25900 | |
Kahului–Wailuku–Lahaina, HI MSA | 1.96 | 0.93 |
1.04 |
Hawaii | 57% | 27980 | |
Kapaa, HI μSA | 1.80 | 1.16 |
1.16 |
Hawaii | 64% | 28180 | |
Urban Honolulu, HI MSA | 1.49 | 1.16 |
1.16 |
Hawaii | 57% | 46520 | |
Adams County, ID | 1.49 | 1.13 |
1.15 |
Idaho | 0% | CN1600300000000 | |
Bear Lake County, ID | 1.19 | 0.97 |
1.19 |
Idaho | 29% | CN1600700000000 | |
Benewah County, ID | 1.78 | 1.04 |
1.12 |
Idaho | 0% | CN1600900000000 | |
Blackfoot, ID μSA | 1.30 | 1.16 |
1.16 |
Idaho | 0% | 13940 | |
Boise City, ID MSA | 1.83 | 0.95 |
1.04 |
Idaho | 71% | 14260 | |
Boundary County, ID | 1.62 | 1.14 |
1.40 |
Idaho | 0% | CN1602100000000 | |
Burley, ID μSA | 1.84 | 0.95 |
1.09 |
Idaho | 50% | 15420 | |
Caribou County, ID | 1.52 | 1.09 |
1.09 |
Idaho | 64% | CN1602900000000 | |
Clearwater County, ID | 1.56 | 0.99 |
1.05 |
Idaho | 64% | CN1603500000000 | |
Coeur d'Alene, ID MSA | 1.51 | 1.06 |
1.33 |
Idaho | 0% | 17660 | |
Custer County, ID | 1.13 | 1.11 |
1.13 |
Idaho | 0% | CN1603700000000 | |
Gooding County, ID | 1.47 | 0.73 |
0.89 |
Idaho | 100% | CN1604700000000 | |
Hailey, ID μSA | 3.03 | 0.95 |
1.14 |
Idaho | 64% | 25200 | |
Idaho Falls, ID MSA | 1.28 | 1.22 |
1.22 |
Idaho | 0% | 26820 | |
Idaho–Lewis, ID LMA | 1.91 | 1.14 |
1.14 |
Idaho | 50% | 81460 | |
Jackson, WY–ID μSA | 1.47 | 1.07 |
1.17 |
Idaho,Wyoming | 0% | 27220 | |
Lemhi County, ID | 1.31 | 1.10 |
1.18 |
Idaho | 14% | CN1605900000000 | |
Lewiston, ID–WA MSA | 1.32 | 1.10 |
1.10 |
Idaho,Washington | 43% | 30300 | |
Logan, UT–ID MSA | 1.59 | 0.89 |
1.10 |
Idaho,Utah | 79% | 30860 | |
Moscow, ID μSA | 1.66 | 1.08 |
1.10 |
Idaho | 0% | 34140 | |
Mountain Home, ID μSA | 1.89 | 1.00 |
1.09 |
Idaho | 14% | 34300 | |
Oneida County, ID | 1.34 | 1.01 |
1.18 |
Idaho | 64% | CN1607100000000 | |
Ontario, OR–ID μSA | 1.45 | 0.90 |
1.00 |
Idaho,Oregon | 100% | 36620 | |
Pocatello, ID MSA | 1.24 | 0.95 |
0.99 |
Idaho | 100% | 38540 | |
Power County, ID | 1.60 | 0.90 |
1.06 |
Idaho | 86% | CN1607700000000 | |
Rexburg, ID μSA | 1.70 | 1.11 |
1.13 |
Idaho | 0% | 39940 | |
Sandpoint, ID μSA | 1.44 | 1.17 |
1.31 |
Idaho | 0% | 41760 | |
Shoshone County, ID | 1.51 | 0.86 |
1.36 |
Idaho | 29% | CN1607900000000 | |
Twin Falls, ID MSA | 1.48 | 0.81 |
0.95 |
Idaho | 100% | 46300 | |
Valley County, ID | 1.41 | 1.14 |
1.17 |
Idaho | 7% | CN1608500000000 | |
Washington County, ID | 1.48 | 1.21 |
1.21 |
Idaho | 50% | CN1608700000000 | |
Bloomington, IL MSA | 1.31 | 1.00 |
1.01 |
Illinois | 71% | 14010 | |
Brown County, IL | 1.60 | 0.96 |
0.98 |
Illinois | 100% | CN1700900000000 | |
Burlington, IA–IL μSA | 1.35 | 0.99 |
1.01 |
Illinois,Iowa | 79% | 15460 | |
Canton, IL μSA | 1.53 | 0.78 |
0.99 |
Illinois | 100% | 15900 | |
Cape Girardeau, MO–IL MSA | 1.48 | 1.00 |
1.02 |
Illinois,Missouri | 86% | 16020 | |
Carbondale–Marion, IL MSA | 1.33 | 0.96 |
0.96 |
Illinois | 100% | 16060 | |
Carroll County, IL | 2.66 | 0.92 |
0.92 |
Illinois | 100% | CN1701500000000 | |
Cass County, IL | 1.79 | 0.78 |
0.79 |
Illinois | 100% | CN1701700000000 | |
Centralia, IL μSA | 1.28 | 0.79 |
0.87 |
Illinois | 100% | 16460 | |
Champaign–Urbana, IL MSA | 1.33 | 1.02 |
1.03 |
Illinois | 71% | 16580 | |
Charleston–Mattoon, IL μSA | 1.41 | 1.10 |
1.11 |
Illinois | 64% | 16660 | |
Chicago–Naperville–Elgin, IL–IN–WI MSA | 2.81 | 1.06 |
1.06 |
Illinois,Indiana,Wisconsin | 0% | 16980 | |
Clark County, IL | 1.50 | 1.34 |
1.34 |
Illinois | 50% | CN1702300000000 | |
Clay County, IL | 1.71 | 1.14 |
1.14 |
Illinois | 71% | CN1702500000000 | |
Crawford County, IL | 1.72 | 0.73 |
0.79 |
Illinois | 100% | CN1703300000000 | |
Danville, IL MSA | 1.31 | 0.94 |
0.99 |
Illinois | 100% | 19180 | |
Davenport–Moline–Rock Island, IA–IL MSA | 1.69 | 0.90 |
0.94 |
Illinois,Iowa | 100% | 19340 | |
Decatur, IL MSA | 1.34 | 0.94 |
0.95 |
Illinois | 100% | 19500 | |
Dixon, IL μSA | 1.54 | 0.84 |
0.97 |
Illinois | 100% | 19940 | |
Douglas County, IL | 1.57 | 1.16 |
1.16 |
Illinois | 79% | CN1704100000000 | |
Edgar County, IL | 2.34 | 0.67 |
1.00 |
Illinois | 93% | CN1704500000000 | |
Edwards County, IL | 1.31 | 0.88 |
0.95 |
Illinois | 100% | CN1704700000000 | |
Effingham, IL μSA | 1.29 | 0.89 |
0.91 |
Illinois | 100% | 20820 | |
Fayette County, IL | 1.58 | 1.10 |
1.14 |
Illinois | 64% | CN1705100000000 | |
Fort Madison–Keokuk, IA–IL–MO μSA | 1.23 | 0.76 |
0.85 |
Illinois,Iowa,Missouri | 100% | 22800 | |
Franklin County, IL | 1.42 | 0.66 |
0.79 |
Illinois | 100% | CN1705500000000 | |
Freeport, IL μSA | 1.80 | 1.13 |
1.13 |
Illinois | 0% | 23300 | |
Galesburg, IL μSA | 1.27 | 0.95 |
0.95 |
Illinois | 100% | 23660 | |
Gallatin County, IL | 1.57 | 0.98 |
1.04 |
Illinois | 71% | CN1705900000000 | |
Greene County, IL | 1.61 | 0.89 |
1.03 |
Illinois | 86% | CN1706100000000 | |
Hamilton County, IL | 1.48 | 0.96 |
0.98 |
Illinois | 100% | CN1706500000000 | |
Hardin County, IL | 1.53 | 1.20 |
1.20 |
Illinois | 0% | CN1706900000000 | |
Iroquois County, IL | 1.76 | 1.17 |
1.17 |
Illinois | 57% | CN1707500000000 | |
Jacksonville, IL μSA | 1.42 | 0.92 |
1.06 |
Illinois | 64% | 27300 | |
Jasper County, IL | 1.67 | 0.95 |
0.95 |
Illinois | 100% | CN1707900000000 | |
Jo Daviess County, IL | 1.73 | 1.24 |
1.24 |
Illinois | 21% | CN1708500000000 | |
Johnson County, IL | 1.69 | 1.23 |
1.35 |
Illinois | 0% | CN1708700000000 | |
Kankakee, IL MSA | 1.51 | 0.92 |
0.92 |
Illinois | 100% | 28100 | |
Lawrence County, IL | 1.54 | 0.77 |
0.99 |
Illinois | 100% | CN1710100000000 | |
Lincoln, IL μSA | 1.85 | 1.11 |
1.11 |
Illinois | 71% | 30660 | |
Macomb, IL μSA | 1.94 | 1.28 |
1.28 |
Illinois | 50% | 31380 | |
Mason County, IL | 1.55 | 0.68 |
0.92 |
Illinois | 100% | CN1712500000000 | |
Montgomery County, IL | 1.50 | 1.18 |
1.18 |
Illinois | 0% | CN1713500000000 | |
Moultrie County, IL | 1.53 | 0.85 |
1.20 |
Illinois | 43% | CN1713900000000 | |
Mount Vernon, IL μSA | 1.40 | 0.92 |
0.93 |
Illinois | 100% | 34500 | |
Ottawa–Peru, IL μSA | 1.42 | 1.05 |
1.08 |
Illinois | 50% | 36860 | |
Paducah, KY–IL μSA | 1.21 | 0.88 |
0.97 |
Illinois,Kentucky | 100% | 37140 | |
Peoria, IL MSA | 1.45 | 0.89 |
0.96 |
Illinois | 100% | 37900 | |
Perry County, IL | 1.47 | 0.78 |
1.00 |
Illinois | 86% | CN1714500000000 | |
Pike County, IL | 1.56 | 0.91 |
1.20 |
Illinois | 29% | CN1714900000000 | |
Pontiac, IL μSA | 1.46 | 0.77 |
0.93 |
Illinois | 100% | 38700 | |
Pope County, IL | 0.94 | 0.94 |
0.94 |
Illinois | 36% | CN1715100000000 | |
Pulaski County, IL | 1.36 | 1.13 |
1.13 |
Illinois | 36% | CN1715300000000 | |
Quincy, IL–MO μSA | 1.23 | 0.91 |
1.09 |
Illinois,Missouri | 43% | 39500 | |
Randolph County, IL | 1.34 | 0.75 |
0.91 |
Illinois | 100% | CN1715700000000 | |
Richland County, IL | 1.52 | 1.05 |
1.05 |
Illinois | 64% | CN1715900000000 | |
Rochelle, IL μSA | 1.45 | 1.09 |
1.10 |
Illinois | 79% | 40300 | |
Rockford, IL MSA | 1.41 | 1.04 |
1.04 |
Illinois | 36% | 40420 | |
St. Louis, MO–IL MSA | 2.54 | 0.89 |
0.93 |
Illinois,Missouri | 100% | 41180 | |
Saline County, IL | 1.54 | 1.17 |
1.18 |
Illinois | 57% | CN1716500000000 | |
Schuyler County, IL | 1.41 | 1.06 |
1.07 |
Illinois | 57% | CN1716900000000 | |
Shelby County, IL | 1.35 | 0.82 |
1.02 |
Illinois | 79% | CN1717300000000 | |
Springfield, IL MSA | 1.35 | 1.03 |
1.03 |
Illinois | 79% | 44100 | |
Sterling, IL μSA | 1.34 | 0.88 |
0.94 |
Illinois | 100% | 44580 | |
Taylorville, IL μSA | 1.57 | 0.75 |
1.08 |
Illinois | 86% | 45380 | |
Union County, IL | 1.66 | 1.13 |
1.13 |
Illinois | 0% | CN1718100000000 | |
Wabash County, IL | 1.37 | 0.86 |
0.86 |
Illinois | 100% | CN1718500000000 | |
Warren County, IL | 1.60 | 0.90 |
0.90 |
Illinois | 100% | CN1718700000000 | |
Washington County, IL | 1.36 | 1.10 |
1.14 |
Illinois | 50% | CN1718900000000 | |
Wayne County, IL | 1.62 | 0.90 |
0.96 |
Illinois | 100% | CN1719100000000 | |
White County, IL | 1.57 | 0.85 |
1.02 |
Illinois | 86% | CN1719300000000 | |
Angola, IN μSA | 1.55 | 1.04 |
1.04 |
Indiana | 57% | 11420 | |
Auburn, IN μSA | 1.43 | 1.02 |
1.05 |
Indiana | 50% | 12140 | |
Bedford, IN μSA | 1.35 | 0.95 |
0.99 |
Indiana | 100% | 13260 | |
Blackford County, IN | 1.50 | 0.94 |
1.07 |
Indiana | 71% | CN1800900000000 | |
Bloomington, IN MSA | 1.23 | 1.01 |
1.01 |
Indiana | 93% | 14020 | |
Cincinnati, OH–KY–IN MSA | 1.98 | 0.93 |
0.93 |
Indiana,Kentucky,Ohio | 100% | 17140 | |
Columbus, IN MSA | 1.44 | 0.97 |
0.97 |
Indiana | 100% | 18020 | |
Connersville, IN μSA | 1.86 | 0.62 |
0.82 |
Indiana | 100% | 18220 | |
Crawford County, IN | 1.37 | 1.04 |
1.04 |
Indiana | 86% | CN1802500000000 | |
Crawfordsville, IN μSA | 1.45 | 1.06 |
1.07 |
Indiana | 64% | 18820 | |
Decatur, IN μSA | 1.44 | 0.99 |
1.16 |
Indiana | 14% | 19540 | |
Elkhart–Goshen, IN MSA | 1.27 | 0.99 |
0.99 |
Indiana | 100% | 21140 | |
Evansville, IN–KY MSA | 1.41 | 0.78 |
0.92 |
Indiana,Kentucky | 100% | 21780 | |
Fort Wayne, IN MSA | 1.47 | 1.00 |
1.00 |
Indiana | 86% | 23060 | |
Fountain County, IN | 1.86 | 1.05 |
1.07 |
Indiana | 50% | CN1804500000000 | |
Frankfort, IN μSA | 1.93 | 0.94 |
1.11 |
Indiana | 43% | 23140 | |
Franklin County, IN | 1.46 | 1.01 |
1.01 |
Indiana | 93% | CN1804700000000 | |
Fulton County, IN | 1.36 | 1.18 |
1.18 |
Indiana | 14% | CN1804900000000 | |
Gibson County, IN | 1.39 | 0.98 |
1.11 |
Indiana | 29% | CN1805100000000 | |
Greene County, IN | 1.65 | 0.96 |
1.00 |
Indiana | 100% | CN1805500000000 | |
Greensburg, IN μSA | 1.60 | 0.97 |
0.97 |
Indiana | 100% | 24700 | |
Huntington, IN μSA | 1.33 | 1.33 |
1.33 |
Indiana | 0% | 26540 | |
Indianapolis–Carmel–Anderson, IN MSA | 2.54 | 1.00 |
1.00 |
Indiana | 100% | 26900 | |
Jasper, IN μSA | 1.41 | 1.07 |
1.07 |
Indiana | 79% | 27540 | |
Jay County, IN | 1.50 | 0.86 |
1.01 |
Indiana | 79% | CN1807500000000 | |
Kendallville, IN μSA | 1.28 | 0.92 |
1.03 |
Indiana | 93% | 28340 | |
Kokomo, IN MSA | 1.30 | 1.20 |
1.20 |
Indiana | 14% | 29020 | |
Lafayette–West Lafayette, IN MSA | 1.36 | 0.96 |
1.02 |
Indiana | 71% | 29200 | |
LaGrange County, IN | 1.85 | 1.13 |
1.14 |
Indiana | 50% | CN1808700000000 | |
Logansport, IN μSA | 1.79 | 1.03 |
1.09 |
Indiana | 36% | 30900 | |
Louisville/Jefferson County, KY–IN MSA | 1.97 | 0.97 |
0.97 |
Indiana,Kentucky | 100% | 31140 | |
Madison, IN μSA | 1.70 | 0.96 |
0.96 |
Indiana | 100% | 31500 | |
Marion, IN μSA | 1.35 | 1.02 |
1.02 |
Indiana | 57% | 31980 | |
Martin County, IN | 1.46 | 1.02 |
1.09 |
Indiana | 57% | CN1810100000000 | |
Michigan City–La Porte, IN MSA | 1.41 | 1.08 |
1.08 |
Indiana | 0% | 33140 | |
Muncie, IN MSA | 1.28 | 1.07 |
1.07 |
Indiana | 71% | 34620 | |
New Castle, IN μSA | 1.34 | 1.07 |
1.09 |
Indiana | 50% | 35220 | |
North Vernon, IN μSA | 1.58 | 1.33 |
1.33 |
Indiana | 50% | 35860 | |
Orange County, IN | 1.70 | 0.92 |
1.10 |
Indiana | 79% | CN1811700000000 | |
Parke County, IN | 1.47 | 0.98 |
1.05 |
Indiana | 64% | CN1812100000000 | |
Perry County, IN | 1.69 | 0.90 |
0.94 |
Indiana | 100% | CN1812300000000 | |
Peru, IN μSA | 1.89 | 0.96 |
0.98 |
Indiana | 100% | 37940 | |
Plymouth, IN μSA | 1.34 | 1.14 |
1.14 |
Indiana | 0% | 38500 | |
Pulaski County, IN | 1.35 | 0.92 |
0.95 |
Indiana | 100% | CN1813100000000 | |
Randolph County, IN | 1.21 | 1.19 |
1.19 |
Indiana | 57% | CN1813500000000 | |
Richmond, IN μSA | 1.33 | 0.95 |
0.95 |
Indiana | 100% | 39980 | |
Ripley County, IN | 1.51 | 0.73 |
0.88 |
Indiana | 100% | CN1813700000000 | |
Rush County, IN | 1.57 | 1.21 |
1.21 |
Indiana | 43% | CN1813900000000 | |
Seymour, IN μSA | 1.79 | 1.10 |
1.10 |
Indiana | 79% | 42980 | |
South Bend–Mishawaka, IN–MI MSA | 1.37 | 1.03 |
1.04 |
Indiana,Michigan | 64% | 43780 | |
Spencer County, IN | 1.45 | 1.09 |
1.09 |
Indiana | 64% | CN1814700000000 | |
Starke County, IN | 1.60 | 0.86 |
0.93 |
Indiana | 100% | CN1814900000000 | |
Switzerland County, IN | 1.54 | 0.88 |
0.94 |
Indiana | 100% | CN1815500000000 | |
Terre Haute, IN MSA | 1.34 | 1.00 |
1.00 |
Indiana | 100% | 45460 | |
Tipton County, IN | 1.50 | 1.11 |
1.11 |
Indiana | 79% | CN1815900000000 | |
Vincennes, IN μSA | 1.24 | 0.81 |
0.84 |
Indiana | 100% | 47180 | |
Wabash, IN μSA | 1.25 | 1.03 |
1.03 |
Indiana | 71% | 47340 | |
Warren County, IN | 1.28 | 1.04 |
1.12 |
Indiana | 21% | CN1817100000000 | |
Warsaw, IN μSA | 1.31 | 1.17 |
1.17 |
Indiana | 0% | 47700 | |
Washington, IN μSA | 1.24 | 0.81 |
0.90 |
Indiana | 100% | 47780 | |
White County, IN | 1.91 | 1.00 |
1.00 |
Indiana | 93% | CN1818100000000 | |
Adair County, IA | 1.57 | 0.82 |
1.15 |
Iowa | 64% | CN1900100000000 | |
Adams County, IA | 0.88 | 0.88 |
0.88 |
Iowa | 36% | CN1900300000000 | |
Allamakee County, IA | 1.45 | 0.82 |
0.94 |
Iowa | 100% | CN1900500000000 | |
Ames, IA MSA | 1.72 | 0.98 |
0.98 |
Iowa | 100% | 11180 | |
Appanoose County, IA | 1.63 | 1.08 |
1.08 |
Iowa | 71% | CN1900700000000 | |
Audubon County, IA | 1.50 | 0.94 |
1.21 |
Iowa | 21% | CN1900900000000 | |
Boone, IA μSA | 1.35 | 1.00 |
1.00 |
Iowa | 86% | 14340 | |
Buchanan County, IA | 1.36 | 0.79 |
0.92 |
Iowa | 100% | CN1901900000000 | |
Butler County, IA | 1.50 | 1.04 |
1.12 |
Iowa | 0% | CN1902300000000 | |
Calhoun County, IA | 1.83 | 1.22 |
1.22 |
Iowa | 57% | CN1902500000000 | |
Carroll, IA μSA | 1.67 | 1.02 |
1.04 |
Iowa | 64% | 16140 | |
Cass County, IA | 1.54 | 1.10 |
1.16 |
Iowa | 0% | CN1902900000000 | |
Cedar County, IA | 1.61 | 0.91 |
1.01 |
Iowa | 93% | CN1903100000000 | |
Cedar Rapids, IA MSA | 2.76 | 1.08 |
1.08 |
Iowa | 64% | 16300 | |
Cherokee County, IA | 1.55 | 1.00 |
1.03 |
Iowa | 50% | CN1903500000000 | |
Chickasaw County, IA | 1.44 | 0.77 |
0.90 |
Iowa | 100% | CN1903700000000 | |
Clarke County, IA | 1.35 | 1.22 |
1.22 |
Iowa | 71% | CN1903900000000 | |
Clayton County, IA | 1.65 | 1.11 |
1.24 |
Iowa | 0% | CN1904300000000 | |
Clinton, IA μSA | 1.27 | 1.07 |
1.07 |
Iowa | 57% | 17540 | |
Crawford County, IA | 2.21 | 1.08 |
1.09 |
Iowa | 64% | CN1904700000000 | |
Decatur County, IA | 1.32 | 0.96 |
1.03 |
Iowa | 50% | CN1905300000000 | |
Delaware County, IA | 1.59 | 1.16 |
1.16 |
Iowa | 0% | CN1905500000000 | |
Des Moines–West Des Moines, IA MSA | 1.53 | 1.06 |
1.06 |
Iowa | 71% | 19780 | |
Dubuque, IA MSA | 1.31 | 1.17 |
1.17 |
Iowa | 0% | 20220 | |
Emmet County, IA | 1.61 | 0.97 |
1.08 |
Iowa | 64% | CN1906300000000 | |
Fairfield, IA μSA | 1.46 | 0.82 |
0.95 |
Iowa | 100% | 21840 | |
Fayette County, IA | 1.43 | 0.80 |
0.95 |
Iowa | 100% | CN1906500000000 | |
Floyd County, IA | 1.52 | 1.27 |
1.27 |
Iowa | 7% | CN1906700000000 | |
Fort Dodge, IA μSA | 1.33 | 1.02 |
1.02 |
Iowa | 86% | 22700 | |
Franklin County, IA | 1.62 | 0.86 |
0.87 |
Iowa | 100% | CN1906900000000 | |
Fremont County, IA | 1.29 | 1.00 |
1.12 |
Iowa | 36% | CN1907100000000 | |
Greene County, IA | 1.67 | 0.85 |
0.94 |
Iowa | 100% | CN1907300000000 | |
Hamilton County, IA | 1.59 | 1.17 |
1.19 |
Iowa | 0% | CN1907900000000 | |
Hancock County, IA | 1.56 | 1.10 |
1.10 |
Iowa | 64% | CN1908100000000 | |
Hardin County, IA | 1.47 | 0.64 |
0.90 |
Iowa | 100% | CN1908300000000 | |
Henry County, IA | 1.61 | 0.94 |
1.11 |
Iowa | 36% | CN1908700000000 | |
Howard County, IA | 1.51 | 1.14 |
1.26 |
Iowa | 0% | CN1908900000000 | |
Humboldt County, IA | 1.52 | 1.05 |
1.25 |
Iowa | 0% | CN1909100000000 | |
Ida County, IA | 1.59 | 0.97 |
1.12 |
Iowa | 21% | CN1909300000000 | |
Iowa City, IA MSA | 1.42 | 1.09 |
1.09 |
Iowa | 64% | 26980 | |
Iowa County, IA | 1.34 | 0.97 |
1.01 |
Iowa | 86% | CN1909500000000 | |
Jackson County, IA | 1.40 | 1.07 |
1.07 |
Iowa | 79% | CN1909700000000 | |
Keokuk County, IA | 1.70 | 0.94 |
0.94 |
Iowa | 100% | CN1910700000000 | |
Kossuth County, IA | 1.61 | 0.83 |
0.98 |
Iowa | 100% | CN1910900000000 | |
Louisa County, IA | 5.97 | 0.89 |
0.90 |
Iowa | 100% | CN1911500000000 | |
Lucas County, IA | 1.44 | 0.78 |
0.79 |
Iowa | 100% | CN1911700000000 | |
Lyon County, IA | 1.58 | 0.83 |
0.90 |
Iowa | 100% | CN1911900000000 | |
Marshalltown, IA μSA | 2.29 | 0.91 |
0.91 |
Iowa | 100% | 32260 | |
Mason City, IA μSA | 1.40 | 1.08 |
1.08 |
Iowa | 57% | 32380 | |
Mitchell County, IA | 1.70 | 0.71 |
0.85 |
Iowa | 100% | CN1913100000000 | |
Monona County, IA | 1.52 | 1.01 |
1.01 |
Iowa | 93% | CN1913300000000 | |
Monroe County, IA | 1.57 | 0.82 |
0.86 |
Iowa | 100% | CN1913500000000 | |
Montgomery County, IA | 1.39 | 1.35 |
1.39 |
Iowa | 21% | CN1913700000000 | |
Muscatine, IA μSA | 1.39 | 0.91 |
0.95 |
Iowa | 100% | 34700 | |
Newton, IA μSA | 2.61 | 0.93 |
0.93 |
Iowa | 100% | 35500 | |
O'Brien County, IA | 1.41 | 0.84 |
1.20 |
Iowa | 64% | CN1914100000000 | |
Omaha–Council Bluffs, NE–IA MSA | 1.91 | 1.07 |
1.07 |
Iowa,Nebraska | 71% | 36540 | |
Osceola County, IA | 1.45 | 1.09 |
1.22 |
Iowa | 0% | CN1914300000000 | |
Oskaloosa, IA μSA | 1.82 | 1.25 |
1.25 |
Iowa | 0% | 36820 | |
Ottumwa, IA μSA | 1.68 | 0.90 |
0.91 |
Iowa | 100% | 36900 | |
Page County, IA | 1.79 | 1.15 |
1.15 |
Iowa | 50% | CN1914500000000 | |
Palo Alto County, IA | 1.47 | 1.03 |
1.06 |
Iowa | 79% | CN1914700000000 | |
Pella, IA μSA | 1.77 | 0.96 |
0.96 |
Iowa | 100% | 37800 | |
Pocahontas County, IA | 1.55 | 0.97 |
1.03 |
Iowa | 36% | CN1915100000000 | |
Poweshiek County, IA | 1.44 | 1.27 |
1.27 |
Iowa | 43% | CN1915700000000 | |
Ringgold County, IA | 1.33 | 0.99 |
1.09 |
Iowa | 57% | CN1915900000000 | |
Sac County, IA | 1.69 | 1.11 |
1.11 |
Iowa | 57% | CN1916100000000 | |
Shelby County, IA | 1.34 | 1.12 |
1.12 |
Iowa | 64% | CN1916500000000 | |
Sioux City, IA–NE–SD MSA | 1.88 | 0.99 |
0.99 |
Iowa,Nebraska,South Dakota | 100% | 43580 | |
Sioux County, IA | 2.03 | 1.47 |
1.48 |
Iowa | 14% | CN1916700000000 | |
Spencer, IA μSA | 1.62 | 1.07 |
1.13 |
Iowa | 43% | 43980 | |
Spirit Lake, IA μSA | 1.90 | 0.65 |
0.93 |
Iowa | 100% | 44020 | |
Storm Lake, IA μSA | 2.09 | 1.16 |
1.18 |
Iowa | 64% | 44740 | |
Tama County, IA | 1.80 | 0.98 |
1.03 |
Iowa | 86% | CN1917100000000 | |
Taylor County, IA | 1.45 | 0.95 |
1.00 |
Iowa | 93% | CN1917300000000 | |
Union County, IA | 1.47 | 0.98 |
1.05 |
Iowa | 36% | CN1917500000000 | |
Van Buren County, IA | 1.82 | 1.00 |
1.00 |
Iowa | 100% | CN1917700000000 | |
Waterloo–Cedar Falls, IA MSA | 1.72 | 0.91 |
1.02 |
Iowa | 93% | 47940 | |
Wayne County, IA | 1.79 | 1.12 |
1.17 |
Iowa | 7% | CN1918500000000 | |
Winnebago County, IA | 1.54 | 0.79 |
0.79 |
Iowa | 100% | CN1918900000000 | |
Winneshiek County, IA | 1.67 | 1.00 |
1.02 |
Iowa | 71% | CN1919100000000 | |
Wright County, IA | 2.23 | 1.16 |
1.16 |
Iowa | 71% | CN1919700000000 | |
Allen County, KS | 1.78 | 1.23 |
1.23 |
Kansas | 0% | CN2000100000000 | |
Anderson County, KS | 1.65 | 1.02 |
1.05 |
Kansas | 36% | CN2000300000000 | |
Arkansas City–Winfield, KS μSA | 1.27 | 1.06 |
1.06 |
Kansas | 79% | 11680 | |
Atchison, KS μSA | 1.79 | 1.28 |
1.28 |
Kansas | 0% | 11860 | |
Barber County, KS | 1.26 | 1.01 |
1.01 |
Kansas | 93% | CN2000700000000 | |
Bourbon County, KS | 1.59 | 1.29 |
1.33 |
Kansas | 21% | CN2001100000000 | |
Brown County, KS | 1.55 | 1.54 |
1.55 |
Kansas | 0% | CN2001300000000 | |
Chase County, KS | 1.00 | 0.98 |
1.00 |
Kansas | 36% | CN2001700000000 | |
Chautauqua County, KS | 1.35 | 1.04 |
1.05 |
Kansas | 64% | CN2001900000000 | |
Cherokee County, KS | 1.75 | 1.06 |
1.17 |
Kansas | 0% | CN2002100000000 | |
Cheyenne County, KS | 1.05 | 1.05 |
1.05 |
Kansas | 0% | CN2002300000000 | |
Clark County, KS | 1.07 | 1.05 |
1.07 |
Kansas | 0% | CN2002500000000 | |
Clay County, KS | 1.55 | 1.16 |
1.16 |
Kansas | 0% | CN2002700000000 | |
Cloud County, KS | 1.69 | 1.39 |
1.43 |
Kansas | 0% | CN2002900000000 | |
Coffey County, KS | 1.42 | 1.27 |
1.28 |
Kansas | 29% | CN2003100000000 | |
Coffeyville, KS μSA | 1.22 | 0.94 |
0.97 |
Kansas | 100% | 17700 | |
Decatur County, KS | 1.28 | 1.18 |
1.27 |
Kansas | 0% | CN2003900000000 | |
Dickinson County, KS | 1.83 | 1.09 |
1.09 |
Kansas | 0% | CN2004100000000 | |
Dodge City, KS μSA | 2.59 | 1.40 |
1.40 |
Kansas | 21% | 19980 | |
Edwards County, KS | 1.57 | 1.56 |
1.57 |
Kansas | 0% | CN2004700000000 | |
Elk County, KS | 1.41 | 1.40 |
1.41 |
Kansas | 0% | CN2004900000000 | |
Ellsworth County, KS | 1.51 | 1.34 |
1.34 |
Kansas | 0% | CN2005300000000 | |
Emporia, KS μSA | 1.96 | 1.30 |
1.30 |
Kansas | 14% | 21380 | |
Garden City, KS μSA | 2.47 | 1.23 |
1.27 |
Kansas | 0% | 23780 | |
Gove County, KS | 1.76 | 1.05 |
1.07 |
Kansas | 21% | CN2006300000000 | |
Graham County, KS | 1.06 | 1.05 |
1.06 |
Kansas | 0% | CN2006500000000 | |
Grant County, KS | 1.48 | 1.18 |
1.20 |
Kansas | 0% | CN2006700000000 | |
Gray County, KS | 1.54 | 1.34 |
1.34 |
Kansas | 43% | CN2006900000000 | |
Great Bend, KS μSA | 1.46 | 1.24 |
1.24 |
Kansas | 64% | 24460 | |
Greeley County, KS | 0.99 | 0.99 |
0.99 |
Kansas | 36% | CN2007100000000 | |
Greenwood County, KS | 1.64 | 1.05 |
1.07 |
Kansas | 36% | CN2007300000000 | |
Hamilton County, KS | 1.53 | 1.09 |
1.09 |
Kansas | 43% | CN2007500000000 | |
Harper County, KS | 1.90 | 0.99 |
0.99 |
Kansas | 100% | CN2007700000000 | |
Haskell County, KS | 1.46 | 1.35 |
1.46 |
Kansas | 0% | CN2008100000000 | |
Hays, KS μSA | 1.99 | 1.19 |
1.25 |
Kansas | 0% | 25700 | |
Hodgeman County, KS | 1.60 | 1.04 |
1.07 |
Kansas | 0% | CN2008300000000 | |
Hutchinson, KS μSA | 1.31 | 1.12 |
1.12 |
Kansas | 43% | 26740 | |
Jewell County, KS | 1.23 | 0.88 |
0.88 |
Kansas | 100% | CN2008900000000 | |
Junction City, KS μSA | 1.74 | 1.27 |
1.28 |
Kansas | 0% | 27920 | |
Kansas City, MO–KS MSA | 2.10 | 1.03 |
1.03 |
Kansas,Missouri | 79% | 28140 | |
Kiowa County, KS | 1.14 | 1.10 |
1.14 |
Kansas | 0% | CN2009700000000 | |
Lane County, KS | 1.03 | 1.03 |
1.03 |
Kansas | 0% | CN2010100000000 | |
Lawrence, KS MSA | 1.46 | 1.20 |
1.20 |
Kansas | 21% | 29940 | |
Liberal, KS μSA | 3.01 | 1.27 |
1.27 |
Kansas | 36% | 30580 | |
Lincoln County, KS | 1.20 | 1.20 |
1.20 |
Kansas | 0% | CN2010500000000 | |
Logan County, KS | 1.45 | 1.09 |
1.09 |
Kansas | 50% | CN2010900000000 | |
Manhattan, KS MSA | 1.44 | 1.22 |
1.44 |
Kansas | 0% | 31740 | |
Marion County, KS | 1.64 | 1.30 |
1.30 |
Kansas | 0% | CN2011500000000 | |
Marshall County, KS | 1.82 | 1.00 |
1.16 |
Kansas | 0% | CN2011700000000 | |
McPherson, KS μSA | 1.61 | 1.14 |
1.14 |
Kansas | 0% | 32700 | |
Meade County, KS | 1.43 | 1.07 |
1.12 |
Kansas | 43% | CN2011900000000 | |
Mitchell County, KS | 1.85 | 1.03 |
1.23 |
Kansas | 0% | CN2012300000000 | |
Morris County, KS | 1.51 | 1.07 |
1.13 |
Kansas | 0% | CN2012700000000 | |
Morton County, KS | 1.33 | 1.24 |
1.33 |
Kansas | 0% | CN2012900000000 | |
Nemaha County, KS | 1.40 | 1.33 |
1.36 |
Kansas | 7% | CN2013100000000 | |
Neosho County, KS | 1.58 | 1.39 |
1.51 |
Kansas | 0% | CN2013300000000 | |
Ness County, KS | 1.49 | 1.05 |
1.05 |
Kansas | 7% | CN2013500000000 | |
Norton County, KS | 2.25 | 1.63 |
1.63 |
Kansas | 7% | CN2013700000000 | |
Osborne County, KS | 1.06 | 1.06 |
1.06 |
Kansas | 14% | CN2014100000000 | |
Ottawa, KS μSA | 1.53 | 1.03 |
1.03 |
Kansas | 93% | 36840 | |
Parsons, KS μSA | 1.66 | 1.64 |
1.66 |
Kansas | 7% | 37660 | |
Pawnee County, KS | 1.99 | 1.06 |
1.07 |
Kansas | 71% | CN2014500000000 | |
Phillips County, KS | 1.49 | 1.38 |
1.49 |
Kansas | 0% | CN2014700000000 | |
Pittsburg, KS μSA | 1.65 | 1.21 |
1.33 |
Kansas | 7% | 38260 | |
Pratt County, KS | 1.85 | 1.26 |
1.28 |
Kansas | 0% | CN2015100000000 | |
Rawlins County, KS | 1.01 | 0.98 |
1.01 |
Kansas | 29% | CN2015300000000 | |
Republic County, KS | 1.53 | 1.04 |
1.13 |
Kansas | 0% | CN2015700000000 | |
Rice County, KS | 1.46 | 1.22 |
1.22 |
Kansas | 21% | CN2015900000000 | |
Rooks County, KS | 1.67 | 1.21 |
1.21 |
Kansas | 29% | CN2016300000000 | |
Rush County, KS | 1.53 | 1.06 |
1.08 |
Kansas | 0% | CN2016500000000 | |
Russell County, KS | 1.44 | 1.35 |
1.40 |
Kansas | 0% | CN2016700000000 | |
St. Joseph, MO–KS MSA | 1.62 | 1.20 |
1.20 |
Kansas,Missouri | 50% | 41140 | |
Salina, KS μSA | 1.41 | 1.34 |
1.35 |
Kansas | 0% | 41460 | |
Scott County, KS | 1.59 | 0.97 |
1.42 |
Kansas | 14% | CN2017100000000 | |
Sheridan County, KS | 1.52 | 1.22 |
1.23 |
Kansas | 0% | CN2017900000000 | |
Sherman County, KS | 1.82 | 1.70 |
1.70 |
Kansas | 0% | CN2018100000000 | |
Smith County, KS | 1.18 | 0.92 |
0.92 |
Kansas | 100% | CN2018300000000 | |
Stafford County, KS | 1.75 | 1.12 |
1.31 |
Kansas | 0% | CN2018500000000 | |
Stanton County, KS | 1.13 | 1.13 |
1.13 |
Kansas | 0% | CN2018700000000 | |
Stevens County, KS | 1.44 | 1.29 |
1.44 |
Kansas | 0% | CN2018900000000 | |
Thomas County, KS | 1.40 | 1.02 |
1.02 |
Kansas | 71% | CN2019300000000 | |
Topeka, KS MSA | 1.44 | 1.20 |
1.20 |
Kansas | 36% | 45820 | |
Trego County, KS | 1.44 | 1.33 |
1.44 |
Kansas | 0% | CN2019500000000 | |
Wallace County, KS | 0.98 | 0.97 |
0.98 |
Kansas | 36% | CN2019900000000 | |
Washington County, KS | 1.89 | 0.83 |
1.18 |
Kansas | 71% | CN2020100000000 | |
Wichita County, KS | 1.33 | 1.32 |
1.33 |
Kansas | 0% | CN2020300000000 | |
Wichita, KS MSA | 1.50 | 1.12 |
1.12 |
Kansas | 43% | 48620 | |
Wilson County, KS | 1.50 | 1.36 |
1.38 |
Kansas | 0% | CN2020500000000 | |
Woodson County, KS | 1.21 | 1.21 |
1.21 |
Kansas | 0% | CN2020700000000 | |
Adair County, KY | 1.85 | 1.26 |
1.26 |
Kentucky | 36% | CN2100100000000 | |
Bardstown, KY μSA | 1.64 | 0.87 |
0.90 |
Kentucky | 100% | 12680 | |
Bowling Green, KY MSA | 1.42 | 0.96 |
0.96 |
Kentucky | 100% | 14540 | |
Breathitt County, KY | 1.42 | 0.88 |
0.97 |
Kentucky | 100% | CN2102500000000 | |
Breckinridge County, KY | 1.67 | 1.22 |
1.22 |
Kentucky | 14% | CN2102700000000 | |
Caldwell County, KY | 2.02 | 0.77 |
1.14 |
Kentucky | 71% | CN2103300000000 | |
Campbellsville, KY μSA | 1.42 | 1.15 |
1.15 |
Kentucky | 71% | 15820 | |
Carlisle County, KY | 1.30 | 1.30 |
1.30 |
Kentucky | 0% | CN2103900000000 | |
Carroll County, KY | 1.45 | 1.26 |
1.26 |
Kentucky | 36% | CN2104100000000 | |
Carter County, KY | 1.45 | 0.85 |
0.85 |
Kentucky | 100% | CN2104300000000 | |
Casey County, KY | 1.75 | 1.08 |
1.08 |
Kentucky | 64% | CN2104500000000 | |
Central City, KY μSA | 1.89 | 0.92 |
0.97 |
Kentucky | 100% | 16420 | |
Clarksville, TN–KY MSA | 1.47 | 0.82 |
0.86 |
Kentucky,Tennessee | 100% | 17300 | |
Clay County, KY | 1.70 | 0.81 |
0.90 |
Kentucky | 100% | CN2105100000000 | |
Clinton County, KY | 1.61 | 1.33 |
1.33 |
Kentucky | 43% | CN2105300000000 | |
Crittenden County, KY | 1.63 | 0.91 |
1.12 |
Kentucky | 79% | CN2105500000000 | |
Cumberland County, KY | 1.49 | 0.95 |
1.25 |
Kentucky | 36% | CN2105700000000 | |
Danville, KY μSA | 1.25 | 0.91 |
0.93 |
Kentucky | 100% | 19220 | |
Elizabethtown–Fort Knox, KY MSA | 1.34 | 0.93 |
0.93 |
Kentucky | 100% | 21060 | |
Elliott County, KY | 2.45 | 1.14 |
1.14 |
Kentucky | 7% | CN2106300000000 | |
Estill County, KY | 1.56 | 0.73 |
0.90 |
Kentucky | 100% | CN2106500000000 | |
Fleming County, KY | 1.68 | 0.89 |
0.89 |
Kentucky | 100% | CN2106900000000 | |
Floyd County, KY | 1.45 | 0.87 |
1.04 |
Kentucky | 79% | CN2107100000000 | |
Frankfort, KY μSA | 1.29 | 0.83 |
1.07 |
Kentucky | 71% | 23180 | |
Garrard County, KY | 1.36 | 0.91 |
0.91 |
Kentucky | 100% | CN2107900000000 | |
Glasgow, KY μSA | 1.34 | 0.85 |
0.92 |
Kentucky | 100% | 23980 | |
Grayson County, KY | 1.57 | 1.05 |
1.05 |
Kentucky | 71% | CN2108500000000 | |
Green County, KY | 1.59 | 1.26 |
1.26 |
Kentucky | 50% | CN2108700000000 | |
Harlan County, KY | 1.38 | 0.96 |
0.99 |
Kentucky | 100% | CN2109500000000 | |
Harrison County, KY | 1.83 | 0.76 |
1.03 |
Kentucky | 79% | CN2109700000000 | |
Hart County, KY | 1.63 | 1.37 |
1.37 |
Kentucky | 50% | CN2109900000000 | |
Hickman County, KY | 1.00 | 0.99 |
1.00 |
Kentucky | 36% | CN2110500000000 | |
Huntington–Ashland, WV–KY–OH MSA | 1.43 | 0.96 |
0.96 |
Kentucky,Ohio,West Virginia | 100% | 26580 | |
Jackson County, KY | 2.59 | 1.06 |
1.06 |
Kentucky | 21% | CN2110900000000 | |
Johnson County, KY | 1.65 | 1.10 |
1.10 |
Kentucky | 79% | CN2111500000000 | |
Lawrence County, KY | 1.42 | 0.91 |
0.96 |
Kentucky | 100% | CN2112700000000 | |
Lee–Owsley, KY LMA | 1.92 | 1.06 |
1.06 |
Kentucky | 29% | 81500 | |
Letcher County, KY | 1.88 | 1.38 |
1.38 |
Kentucky | 36% | CN2113300000000 | |
Lewis County, KY | 1.83 | 0.98 |
0.98 |
Kentucky | 100% | CN2113500000000 | |
Lexington–Fayette, KY MSA | 1.52 | 0.94 |
0.95 |
Kentucky | 100% | 30460 | |
Logan County, KY | 1.83 | 0.95 |
0.95 |
Kentucky | 100% | CN2114100000000 | |
London, KY μSA | 1.36 | 0.83 |
0.83 |
Kentucky | 100% | 30940 | |
Lyon County, KY | 2.20 | 0.76 |
1.04 |
Kentucky | 93% | CN2114300000000 | |
Madisonville, KY μSA | 1.26 | 0.98 |
1.04 |
Kentucky | 29% | 31580 | |
Magoffin County, KY | 1.59 | 0.83 |
0.84 |
Kentucky | 100% | CN2115300000000 | |
Marion County, KY | 1.49 | 1.10 |
1.10 |
Kentucky | 71% | CN2115500000000 | |
Marshall County, KY | 1.60 | 0.64 |
0.95 |
Kentucky | 100% | CN2115700000000 | |
Martin County, KY | 1.59 | 0.96 |
1.01 |
Kentucky | 93% | CN2115900000000 | |
Mayfield, KY μSA | 1.46 | 1.09 |
1.11 |
Kentucky | 50% | 32460 | |
Maysville, KY μSA | 1.69 | 1.07 |
1.10 |
Kentucky | 21% | 32500 | |
McCreary County, KY | 1.69 | 0.96 |
0.98 |
Kentucky | 100% | CN2114700000000 | |
Mercer County, KY | 1.53 | 0.91 |
0.97 |
Kentucky | 100% | CN2116700000000 | |
Middlesborough, KY μSA | 2.13 | 1.22 |
1.22 |
Kentucky | 79% | 33180 | |
Monroe County, KY | 1.63 | 0.95 |
0.95 |
Kentucky | 100% | CN2117100000000 | |
Morgan County, KY | 2.32 | 1.04 |
1.12 |
Kentucky | 7% | CN2117500000000 | |
Mount Sterling, KY μSA | 1.31 | 0.90 |
0.93 |
Kentucky | 100% | 34460 | |
Murray, KY μSA | 1.49 | 1.16 |
1.16 |
Kentucky | 71% | 34660 | |
Nicholas County, KY | 1.61 | 0.93 |
0.97 |
Kentucky | 100% | CN2118100000000 | |
Ohio County, KY | 1.63 | 0.97 |
0.97 |
Kentucky | 100% | CN2118300000000 | |
Owen County, KY | 1.52 | 1.08 |
1.08 |
Kentucky | 29% | CN2118700000000 | |
Owensboro, KY MSA | 1.55 | 0.98 |
0.98 |
Kentucky | 100% | 36980 | |
Perry–Knott–Leslie, KY LMA | 1.29 | 0.97 |
0.97 |
Kentucky | 100% | 82180 | |
Pike County, KY | 1.24 | 0.93 |
0.95 |
Kentucky | 100% | CN2119500000000 | |
Powell County, KY | 1.61 | 0.89 |
1.08 |
Kentucky | 64% | CN2119700000000 | |
Richmond–Berea, KY μSA | 1.27 | 0.68 |
0.84 |
Kentucky | 100% | 40080 | |
Robertson County, KY | 0.99 | 0.99 |
0.99 |
Kentucky | 36% | CN2120100000000 | |
Rowan County, KY | 1.82 | 1.09 |
1.16 |
Kentucky | 0% | CN2120500000000 | |
Russell County, KY | 1.56 | 1.24 |
1.24 |
Kentucky | 0% | CN2120700000000 | |
Simpson County, KY | 1.54 | 0.83 |
0.85 |
Kentucky | 100% | CN2121300000000 | |
Somerset, KY μSA | 1.32 | 1.02 |
1.02 |
Kentucky | 43% | 43700 | |
Todd County, KY | 2.13 | 1.01 |
1.14 |
Kentucky | 14% | CN2121900000000 | |
Union City, TN–KY μSA | 1.27 | 0.67 |
0.91 |
Kentucky,Tennessee | 100% | 46460 | |
Union County, KY | 1.88 | 1.25 |
1.27 |
Kentucky | 36% | CN2122500000000 | |
Washington County, KY | 1.52 | 1.00 |
1.07 |
Kentucky | 7% | CN2122900000000 | |
Wayne County, KY | 1.68 | 1.24 |
1.37 |
Kentucky | 0% | CN2123100000000 | |
Webster County, KY | 1.41 | 1.06 |
1.06 |
Kentucky | 79% | CN2123300000000 | |
Wolfe County, KY | 1.51 | 0.84 |
0.84 |
Kentucky | 100% | CN2123700000000 | |
Alexandria, LA MSA | 1.81 | 1.19 |
1.19 |
Louisiana | 71% | 10780 | |
Allen Parish, LA | 1.48 | 1.21 |
1.31 |
Louisiana | 43% | CN2200300000000 | |
Assumption Parish, LA | 1.99 | 1.01 |
1.02 |
Louisiana | 79% | CN2200700000000 | |
Avoyelles Parish, LA | 1.35 | 0.97 |
1.05 |
Louisiana | 71% | CN2200900000000 | |
Bastrop, LA μSA | 1.38 | 1.12 |
1.12 |
Louisiana | 36% | 12820 | |
Baton Rouge, LA MSA | 5.01 | 0.88 |
0.90 |
Louisiana | 100% | 12940 | |
Bienville Parish, LA | 1.78 | 0.95 |
1.02 |
Louisiana | 86% | CN2201300000000 | |
Bogalusa, LA μSA | 1.51 | 1.09 |
1.09 |
Louisiana | 86% | 14220 | |
Caldwell Parish, LA | 1.63 | 0.93 |
0.93 |
Louisiana | 100% | CN2202100000000 | |
Catahoula Parish, LA | 1.87 | 1.00 |
1.00 |
Louisiana | 79% | CN2202500000000 | |
Claiborne Parish, LA | 1.50 | 0.96 |
0.98 |
Louisiana | 100% | CN2202700000000 | |
DeRidder, LA μSA | 1.26 | 0.96 |
0.97 |
Louisiana | 100% | 19760 | |
East Carroll Parish, LA | 1.69 | 0.87 |
0.87 |
Louisiana | 100% | CN2203500000000 | |
Evangeline Parish, LA | 1.43 | 0.90 |
1.07 |
Louisiana | 36% | CN2203900000000 | |
Fort Polk South, LA μSA | 1.36 | 0.95 |
0.99 |
Louisiana | 100% | 22860 | |
Franklin Parish, LA | 1.56 | 0.68 |
0.69 |
Louisiana | 100% | CN2204100000000 | |
Hammond, LA MSA | 1.85 | 0.72 |
0.88 |
Louisiana | 100% | 25220 | |
Houma–Thibodaux, LA MSA | 1.91 | 0.93 |
0.94 |
Louisiana | 100% | 26380 | |
Jackson Parish, LA | 1.58 | 0.97 |
1.00 |
Louisiana | 93% | CN2204900000000 | |
Jennings, LA μSA | 1.41 | 1.40 |
1.41 |
Louisiana | 43% | 27660 | |
Lafayette, LA MSA | 2.05 | 0.99 |
1.05 |
Louisiana | 29% | 29180 | |
Lake Charles, LA MSA | 2.03 | 1.10 |
1.10 |
Louisiana | 71% | 29340 | |
LaSalle Parish, LA | 1.94 | 0.86 |
1.03 |
Louisiana | 79% | CN2205900000000 | |
Madison Parish, LA | 1.73 | 0.93 |
1.08 |
Louisiana | 50% | CN2206500000000 | |
Monroe, LA MSA | 2.42 | 0.80 |
0.81 |
Louisiana | 100% | 33740 | |
Morgan City, LA μSA | 1.55 | 0.87 |
0.90 |
Louisiana | 100% | 34020 | |
Natchez, MS–LA μSA | 1.39 | 0.97 |
0.97 |
Louisiana,Mississippi | 100% | 35020 | |
Natchitoches, LA μSA | 1.39 | 0.70 |
0.76 |
Louisiana | 100% | 35060 | |
New Orleans–Metairie, LA MSA | 5.85 | 1.09 |
1.09 |
Louisiana | 71% | 35380 | |
Opelousas, LA μSA | 1.64 | 1.24 |
1.36 |
Louisiana | 21% | 36660 | |
Red River Parish, LA | 1.70 | 1.01 |
1.01 |
Louisiana | 79% | CN2208100000000 | |
Richland Parish, LA | 1.75 | 0.75 |
0.88 |
Louisiana | 100% | CN2208300000000 | |
Ruston, LA μSA | 1.34 | 0.82 |
0.85 |
Louisiana | 100% | 40820 | |
Sabine Parish, LA | 1.85 | 1.06 |
1.12 |
Louisiana | 29% | CN2208500000000 | |
Shreveport–Bossier City, LA MSA | 2.42 | 0.99 |
0.99 |
Louisiana | 100% | 43340 | |
Tensas Parish, LA | 0.99 | 0.98 |
0.99 |
Louisiana | 36% | CN2210700000000 | |
West Carroll Parish, LA | 1.89 | 0.91 |
1.12 |
Louisiana | 29% | CN2212300000000 | |
Winn Parish, LA | 1.67 | 1.15 |
1.15 |
Louisiana | 50% | CN2212700000000 | |
Acton, ME LMA | 1.59 | 1.06 |
1.08 |
Maine | 14% | 80100 | |
Augusta, ME μNECTA | 1.37 | 1.01 |
1.03 |
Maine | 43% | 70600 | |
Bangor, ME MNECTA | 1.34 | 0.98 |
0.98 |
Maine | 100% | 70750 | |
Belfast, ME LMA | 1.83 | 1.11 |
1.16 |
Maine | 0% | 80300 | |
Boothbay, ME LMA | 1.53 | 1.05 |
1.05 |
Maine | 64% | 80380 | |
Bridgton–Paris, ME LMA | 1.33 | 1.05 |
1.06 |
Maine | 21% | 80460 | |
Brunswick, ME μNECTA | 1.30 | 1.00 |
1.01 |
Maine | 86% | 72250 | |
Calais, ME LMA | 1.73 | 0.93 |
1.01 |
Maine | 71% | 80540 | |
Conway, NH–ME LMA | 1.31 | 0.86 |
1.05 |
Maine,New Hampshire | 64% | 80740 | |
Dover–Durham, NH–ME MNECTA | 1.76 | 0.85 |
0.99 |
Maine,New Hampshire | 100% | 73050 | |
Dover–Foxcroft, ME LMA | 1.40 | 0.91 |
0.94 |
Maine | 100% | 80900 | |
Ellsworth, ME LMA | 1.44 | 1.03 |
1.04 |
Maine | 14% | 80940 | |
Farmington, ME LMA | 1.30 | 1.04 |
1.05 |
Maine | 29% | 80980 | |
Houlton, ME LMA | 1.31 | 0.96 |
0.96 |
Maine | 100% | 81420 | |
Lewiston–Auburn, ME MNECTA | 1.34 | 1.11 |
1.11 |
Maine | 29% | 74650 | |
Lincoln, ME LMA | 1.32 | 0.88 |
0.88 |
Maine | 100% | 81540 | |
Machias, ME LMA | 1.76 | 0.93 |
1.02 |
Maine | 64% | 81660 | |
Madawaska, ME LMA | 1.59 | 1.06 |
1.09 |
Maine | 21% | 81700 | |
Millinocket, ME LMA | 1.33 | 0.94 |
0.94 |
Maine | 100% | 81860 | |
Pittsfield, ME LMA | 1.39 | 0.94 |
0.96 |
Maine | 100% | 82260 | |
Portland–South Portland, ME MNECTA | 2.57 | 1.03 |
1.04 |
Maine | 43% | 76750 | |
Portsmouth, NH–ME MNECTA | 1.49 | 0.80 |
0.96 |
Maine,New Hampshire | 100% | 76900 | |
Presque Isle, ME LMA | 1.60 | 1.13 |
1.13 |
Maine | 29% | 82340 | |
Rockland–Camden, ME LMA | 1.66 | 1.08 |
1.09 |
Maine | 0% | 82580 | |
Rumford, ME LMA | 1.29 | 1.11 |
1.14 |
Maine | 0% | 82620 | |
Sanford, ME μNECTA | 1.51 | 1.03 |
1.03 |
Maine | 50% | 77950 | |
Skowhegan, ME LMA | 1.77 | 1.02 |
1.09 |
Maine | 0% | 82700 | |
Waldoboro, ME LMA | 1.46 | 1.08 |
1.08 |
Maine | 36% | 82820 | |
Waterville, ME μNECTA | 1.40 | 1.00 |
1.04 |
Maine | 29% | 78850 | |
Wells, ME LMA | 1.50 | 1.02 |
1.02 |
Maine | 50% | 82860 | |
Baltimore–Columbia–Towson, MD MSA | 2.42 | 1.02 |
1.02 |
Maryland | 79% | 12580 | |
California–Lexington Park, MD MSA | 1.29 | 0.97 |
0.97 |
Maryland | 100% | 15680 | |
Cambridge, MD μSA | 1.49 | 0.99 |
1.03 |
Maryland | 57% | 15700 | |
Caroline County, MD | 1.64 | 1.13 |
1.15 |
Maryland | 14% | CN2401100000000 | |
Cumberland, MD–WV MSA | 1.63 | 0.82 |
0.90 |
Maryland,West Virginia | 100% | 19060 | |
Easton, MD μSA | 1.44 | 0.86 |
0.86 |
Maryland | 100% | 20660 | |
Garrett County, MD | 1.79 | 1.27 |
1.28 |
Maryland | 21% | CN2402300000000 | |
Hagerstown–Martinsburg, MD–WV MSA | 1.72 | 1.04 |
1.04 |
Maryland,West Virginia | 57% | 25180 | |
Kent County, MD | 1.83 | 0.97 |
1.08 |
Maryland | 57% | CN2402900000000 | |
Athol, MA μNECTA | 2.05 | 0.99 |
1.02 |
Massachusetts | 86% | 70450 | |
Barnstable Town, MA MNECTA | 5.49 | 1.10 |
1.10 |
Massachusetts | 7% | 70900 | |
Boston–Cambridge–Nashua, MA–NH MNECTA | 2.46 | 0.96 |
1.00 |
Massachusetts,New Hampshire | 93% | 71650 | |
Buckland, MA LMA | 3.20 | 1.01 |
1.01 |
Massachusetts | 86% | 80500 | |
Great Barrington, MA LMA | 1.48 | 1.11 |
1.19 |
Massachusetts | 0% | 81100 | |
Greenfield Town, MA μNECTA | 2.27 | 1.09 |
1.09 |
Massachusetts | 43% | 73300 | |
Leominster–Gardner, MA MNECTA | 1.85 | 0.91 |
1.02 |
Massachusetts | 79% | 74500 | |
New Bedford, MA MNECTA | 5.08 | 0.99 |
0.99 |
Massachusetts | 100% | 75550 | |
North Adams, MA–VT μNECTA | 1.48 | 1.05 |
1.15 |
Massachusetts,Vermont | 0% | 76150 | |
Pittsfield, MA MNECTA | 1.64 | 1.08 |
1.08 |
Massachusetts | 0% | 76600 | |
Providence–Warwick, RI–MA MNECTA | 2.23 | 1.00 |
1.01 |
Massachusetts,Rhode Island | 50% | 77200 | |
Adrian, MI μSA | 1.32 | 1.17 |
1.17 |
Michigan | 7% | 10300 | |
Alcona County, MI | 1.79 | 1.33 |
1.33 |
Michigan | 0% | CN2600100000000 | |
Alger County, MI | 1.47 | 0.78 |
0.78 |
Michigan | 100% | CN2600300000000 | |
Alma, MI μSA | 1.45 | 1.14 |
1.14 |
Michigan | 29% | 10940 | |
Alpena, MI μSA | 2.22 | 1.18 |
1.18 |
Michigan | 0% | 10980 | |
Ann Arbor, MI MSA | 2.02 | 1.06 |
1.07 |
Michigan | 57% | 11460 | |
Antrim County, MI | 1.61 | 1.13 |
1.13 |
Michigan | 57% | CN2600900000000 | |
Arenac County, MI | 1.93 | 0.88 |
1.23 |
Michigan | 50% | CN2601100000000 | |
Baraga County, MI | 1.55 | 1.24 |
1.29 |
Michigan | 0% | CN2601300000000 | |
Battle Creek, MI MSA | 1.27 | 1.07 |
1.07 |
Michigan | 64% | 12980 | |
Bay City, MI MSA | 1.31 | 1.07 |
1.07 |
Michigan | 50% | 13020 | |
Big Rapids, MI μSA | 2.02 | 1.01 |
1.01 |
Michigan | 79% | 13660 | |
Cadillac, MI μSA | 1.55 | 1.16 |
1.16 |
Michigan | 0% | 15620 | |
Charlevoix County, MI | 1.68 | 1.02 |
1.10 |
Michigan | 0% | CN2602900000000 | |
Cheboygan County, MI | 1.70 | 0.98 |
0.99 |
Michigan | 100% | CN2603100000000 | |
Clare County, MI | 1.48 | 1.12 |
1.12 |
Michigan | 50% | CN2603500000000 | |
Coldwater, MI μSA | 1.33 | 1.33 |
1.33 |
Michigan | 7% | 17740 | |
Crawford County, MI | 1.69 | 1.11 |
1.34 |
Michigan | 0% | CN2603900000000 | |
Detroit–Warren–Dearborn, MI MSA | 6.00 | 1.16 |
1.16 |
Michigan | 0% | 19820 | |
Emmet County, MI | 1.98 | 0.96 |
0.99 |
Michigan | 100% | CN2604700000000 | |
Escanaba, MI μSA | 1.34 | 1.03 |
1.03 |
Michigan | 71% | 21540 | |
Flint, MI MSA | 3.63 | 1.09 |
1.11 |
Michigan | 0% | 22420 | |
Gladwin County, MI | 1.92 | 1.09 |
1.10 |
Michigan | 21% | CN2605100000000 | |
Gogebic–Iron, MI–WI LMA | 1.75 | 0.88 |
1.01 |
Michigan,Wisconsin | 93% | 81060 | |
Grand Rapids–Wyoming, MI MSA | 1.74 | 1.11 |
1.11 |
Michigan | 0% | 24340 | |
Hillsdale, MI μSA | 1.27 | 1.00 |
1.00 |
Michigan | 100% | 25880 | |
Holland, MI μSA | 1.29 | 1.06 |
1.06 |
Michigan | 0% | 26090 | |
Houghton, MI μSA | 2.03 | 1.32 |
1.33 |
Michigan | 0% | 26340 | |
Huron County, MI | 1.61 | 1.11 |
1.26 |
Michigan | 0% | CN2606300000000 | |
Ionia, MI μSA | 1.96 | 0.99 |
0.99 |
Michigan | 100% | 26960 | |
Iosco County, MI | 2.16 | 1.10 |
1.10 |
Michigan | 0% | CN2606900000000 | |
Iron County, MI | 1.94 | 0.93 |
1.04 |
Michigan | 86% | CN2607100000000 | |
Iron Mountain, MI–WI μSA | 1.62 | 0.87 |
0.98 |
Michigan,Wisconsin | 100% | 27020 | |
Jackson, MI MSA | 1.46 | 1.24 |
1.24 |
Michigan | 0% | 27100 | |
Kalamazoo–Portage, MI MSA | 1.58 | 1.15 |
1.15 |
Michigan | 29% | 28020 | |
Lake County, MI | 1.49 | 1.15 |
1.15 |
Michigan | 64% | CN2608500000000 | |
Lansing–East Lansing, MI MSA | 1.64 | 1.12 |
1.12 |
Michigan | 50% | 29620 | |
Luce County, MI | 1.60 | 1.17 |
1.17 |
Michigan | 43% | CN2609500000000 | |
Ludington, MI μSA | 2.01 | 1.11 |
1.11 |
Michigan | 43% | 31220 | |
Mackinac County, MI | 1.64 | 1.07 |
1.08 |
Michigan | 64% | CN2609700000000 | |
Manistee County, MI | 1.68 | 1.06 |
1.20 |
Michigan | 0% | CN2610100000000 | |
Marinette, WI–MI μSA | 1.30 | 0.97 |
0.97 |
Michigan,Wisconsin | 100% | 31940 | |
Marquette, MI μSA | 1.81 | 1.13 |
1.13 |
Michigan | 50% | 32100 | |
Midland, MI MSA | 1.30 | 1.13 |
1.13 |
Michigan | 43% | 33220 | |
Monroe, MI MSA | 1.46 | 1.04 |
1.04 |
Michigan | 64% | 33780 | |
Montmorency County, MI | 1.61 | 1.27 |
1.29 |
Michigan | 0% | CN2611900000000 | |
Mount Pleasant, MI μSA | 1.49 | 1.14 |
1.14 |
Michigan | 21% | 34380 | |
Muskegon, MI MSA | 1.51 | 1.11 |
1.11 |
Michigan | 43% | 34740 | |
Newaygo County, MI | 1.57 | 1.06 |
1.06 |
Michigan | 57% | CN2612300000000 | |
Niles–Benton Harbor, MI MSA | 1.36 | 1.15 |
1.15 |
Michigan | 36% | 35660 | |
Oceana County, MI | 2.04 | 1.21 |
1.21 |
Michigan | 57% | CN2612700000000 | |
Ogemaw County, MI | 1.85 | 0.93 |
0.93 |
Michigan | 100% | CN2612900000000 | |
Ontonagon County, MI | 1.56 | 1.37 |
1.37 |
Michigan | 21% | CN2613100000000 | |
Osceola County, MI | 1.66 | 1.08 |
1.08 |
Michigan | 36% | CN2613300000000 | |
Oscoda County, MI | 1.73 | 1.21 |
1.21 |
Michigan | 21% | CN2613500000000 | |
Otsego County, MI | 1.69 | 1.05 |
1.05 |
Michigan | 64% | CN2613700000000 | |
Owosso, MI μSA | 1.35 | 1.18 |
1.18 |
Michigan | 0% | 37020 | |
Presque Isle County, MI | 1.84 | 1.10 |
1.10 |
Michigan | 0% | CN2614100000000 | |
Roscommon County, MI | 1.63 | 1.22 |
1.29 |
Michigan | 0% | CN2614300000000 | |
Saginaw, MI MSA | 2.09 | 1.16 |
1.16 |
Michigan | 0% | 40980 | |
Sanilac County, MI | 1.36 | 1.23 |
1.23 |
Michigan | 0% | CN2615100000000 | |
Sault Ste. Marie, MI μSA | 2.10 | 1.02 |
1.02 |
Michigan | 86% | 42300 | |
Schoolcraft County, MI | 1.40 | 1.01 |
1.02 |
Michigan | 79% | CN2615300000000 | |
Sturgis, MI μSA | 1.28 | 1.15 |
1.15 |
Michigan | 14% | 44780 | |
Traverse City, MI μSA | 1.26 | 1.12 |
1.12 |
Michigan | 43% | 45900 | |
Tuscola County, MI | 1.32 | 1.10 |
1.10 |
Michigan | 50% | CN2615700000000 | |
Aitkin County, MN | 1.67 | 1.08 |
1.08 |
Minnesota | 43% | CN2700100000000 | |
Albert Lea, MN μSA | 1.50 | 1.02 |
1.02 |
Minnesota | 93% | 10660 | |
Alexandria, MN μSA | 1.60 | 1.11 |
1.11 |
Minnesota | 64% | 10820 | |
Austin, MN μSA | 2.03 | 1.13 |
1.13 |
Minnesota | 64% | 12380 | |
Becker County, MN | 1.67 | 1.04 |
1.04 |
Minnesota | 64% | CN2700500000000 | |
Bemidji, MN μSA | 1.71 | 1.00 |
1.00 |
Minnesota | 93% | 13420 | |
Big Stone County, MN | 1.39 | 1.00 |
1.00 |
Minnesota | 93% | CN2701100000000 | |
Brainerd, MN μSA | 1.32 | 0.96 |
0.96 |
Minnesota | 100% | 14660 | |
Chippewa County, MN | 1.38 | 1.10 |
1.24 |
Minnesota | 0% | CN2702300000000 | |
Clearwater County, MN | 1.55 | 0.83 |
0.86 |
Minnesota | 100% | CN2702900000000 | |
Cottonwood County, MN | 1.52 | 0.80 |
1.08 |
Minnesota | 79% | CN2703300000000 | |
Duluth, MN–WI MSA | 1.37 | 1.12 |
1.12 |
Minnesota,Wisconsin | 57% | 20260 | |
Fairmont, MN μSA | 1.94 | 0.95 |
0.95 |
Minnesota | 100% | 21860 | |
Fargo, ND–MN MSA | 1.37 | 1.07 |
1.07 |
Minnesota,North Dakota | 36% | 22020 | |
Faribault County, MN | 1.31 | 0.92 |
0.92 |
Minnesota | 100% | CN2704300000000 | |
Faribault–Northfield, MN μSA | 1.56 | 0.94 |
0.95 |
Minnesota | 100% | 22060 | |
Fergus Falls, MN μSA | 1.22 | 1.04 |
1.04 |
Minnesota | 57% | 22260 | |
Grand Forks, ND–MN MSA | 1.65 | 0.94 |
0.95 |
Minnesota,North Dakota | 100% | 24220 | |
Grand Rapids, MN μSA | 1.52 | 1.00 |
1.05 |
Minnesota | 7% | 24330 | |
Grant County, MN | 1.36 | 1.24 |
1.24 |
Minnesota | 36% | CN2705100000000 | |
Hubbard County, MN | 1.62 | 0.86 |
0.88 |
Minnesota | 100% | CN2705700000000 | |
Hutchinson, MN μSA | 1.83 | 1.00 |
1.00 |
Minnesota | 100% | 26780 | |
Jackson County, MN | 1.92 | 1.12 |
1.12 |
Minnesota | 0% | CN2706300000000 | |
Kanabec County, MN | 1.45 | 0.89 |
1.07 |
Minnesota | 79% | CN2706500000000 | |
Kittson County, MN | 1.49 | 0.93 |
1.01 |
Minnesota | 93% | CN2706900000000 | |
Koochiching County, MN | 1.87 | 1.14 |
1.14 |
Minnesota | 71% | CN2707100000000 | |
La Crosse–Onalaska, WI–MN MSA | 1.42 | 0.99 |
0.99 |
Minnesota,Wisconsin | 100% | 29100 | |
Lac qui Parle County, MN | 1.46 | 1.07 |
1.25 |
Minnesota | 0% | CN2707300000000 | |
Lake County, MN | 1.43 | 1.07 |
1.08 |
Minnesota | 64% | CN2707500000000 | |
Lincoln County, MN | 1.36 | 0.80 |
1.10 |
Minnesota | 71% | CN2708100000000 | |
Mahnomen County, MN | 1.40 | 0.98 |
1.05 |
Minnesota | 57% | CN2708700000000 | |
Mankato–North Mankato, MN MSA | 1.41 | 0.99 |
1.01 |
Minnesota | 93% | 31860 | |
Marshall County, MN | 1.63 | 0.69 |
0.84 |
Minnesota | 100% | CN2708900000000 | |
Marshall, MN μSA | 1.90 | 0.92 |
1.06 |
Minnesota | 79% | 32140 | |
Meeker County, MN | 1.69 | 1.15 |
1.15 |
Minnesota | 64% | CN2709300000000 | |
Minneapolis–St. Paul–Bloomington, MN–WI MSA | 1.87 | 1.09 |
1.09 |
Minnesota,Wisconsin | 64% | 33460 | |
Morrison County, MN | 1.42 | 1.07 |
1.07 |
Minnesota | 50% | CN2709700000000 | |
Murray County, MN | 1.52 | 0.98 |
1.08 |
Minnesota | 64% | CN2710100000000 | |
New Ulm, MN μSA | 1.65 | 0.91 |
1.01 |
Minnesota | 86% | 35580 | |
Norman County, MN | 1.50 | 0.92 |
0.92 |
Minnesota | 100% | CN2710700000000 | |
Owatonna, MN μSA | 1.74 | 0.91 |
0.95 |
Minnesota | 100% | 36940 | |
Pennington–Red Lake, MN LMA | 1.80 | 0.97 |
0.97 |
Minnesota | 100% | 82140 | |
Pine County, MN | 1.91 | 0.91 |
1.00 |
Minnesota | 93% | CN2711500000000 | |
Pipestone County, MN | 1.42 | 0.99 |
1.04 |
Minnesota | 29% | CN2711700000000 | |
Pope County, MN | 1.66 | 0.84 |
1.16 |
Minnesota | 57% | CN2712100000000 | |
Red Wing, MN μSA | 1.50 | 1.07 |
1.16 |
Minnesota | 0% | 39860 | |
Redwood County, MN | 1.80 | 0.92 |
0.96 |
Minnesota | 100% | CN2712700000000 | |
Renville County, MN | 1.43 | 1.10 |
1.10 |
Minnesota | 64% | CN2712900000000 | |
Rochester, MN MSA | 1.38 | 1.09 |
1.09 |
Minnesota | 57% | 40340 | |
Rock County, MN | 1.48 | 1.29 |
1.29 |
Minnesota | 50% | CN2713300000000 | |
Roseau County, MN | 1.71 | 1.24 |
1.24 |
Minnesota | 50% | CN2713500000000 | |
St. Cloud, MN MSA | 1.87 | 1.10 |
1.10 |
Minnesota | 64% | 41060 | |
Stevens County, MN | 1.80 | 1.17 |
1.17 |
Minnesota | 29% | CN2714900000000 | |
Swift County, MN | 1.50 | 1.19 |
1.21 |
Minnesota | 64% | CN2715100000000 | |
Todd County, MN | 1.86 | 0.96 |
1.06 |
Minnesota | 86% | CN2715300000000 | |
Wadena County, MN | 1.64 | 1.01 |
1.01 |
Minnesota | 93% | CN2715900000000 | |
Wahpeton, ND–MN μSA | 1.47 | 0.99 |
1.06 |
Minnesota,North Dakota | 7% | 47420 | |
Waseca County, MN | 1.55 | 1.20 |
1.20 |
Minnesota | 64% | CN2716100000000 | |
Watonwan County, MN | 1.81 | 1.29 |
1.29 |
Minnesota | 57% | CN2716500000000 | |
Willmar, MN μSA | 2.38 | 1.08 |
1.08 |
Minnesota | 50% | 48820 | |
Winona, MN μSA | 1.87 | 1.06 |
1.06 |
Minnesota | 64% | 49100 | |
Worthington, MN μSA | 4.31 | 0.96 |
0.99 |
Minnesota | 100% | 49380 | |
Yellow Medicine County, MN | 1.50 | 0.88 |
1.13 |
Minnesota | 57% | CN2717300000000 | |
Attala County, MS | 1.65 | 1.61 |
1.61 |
Mississippi | 21% | CN2800700000000 | |
Brookhaven, MS μSA | 1.35 | 1.21 |
1.24 |
Mississippi | 64% | 15020 | |
Calhoun County, MS | 1.53 | 0.98 |
0.98 |
Mississippi | 100% | CN2801300000000 | |
Chickasaw County, MS | 1.48 | 1.17 |
1.19 |
Mississippi | 7% | CN2801700000000 | |
Choctaw County, MS | 1.52 | 1.06 |
1.14 |
Mississippi | 64% | CN2801900000000 | |
Clarksdale, MS μSA | 1.41 | 1.14 |
1.16 |
Mississippi | 64% | 17260 | |
Cleveland, MS μSA | 1.28 | 0.77 |
1.00 |
Mississippi | 93% | 17380 | |
Columbus, MS μSA | 1.32 | 0.83 |
0.99 |
Mississippi | 100% | 18060 | |
Corinth, MS μSA | 1.29 | 1.29 |
1.29 |
Mississippi | 71% | 18420 | |
Covington County, MS | 1.53 | 1.00 |
1.00 |
Mississippi | 100% | CN2803100000000 | |
Franklin County, MS | 1.36 | 0.95 |
1.13 |
Mississippi | 36% | CN2803700000000 | |
George County, MS | 1.73 | 1.43 |
1.43 |
Mississippi | 7% | CN2803900000000 | |
Greene County, MS | 1.69 | 1.11 |
1.26 |
Mississippi | 0% | CN2804100000000 | |
Greenville, MS μSA | 1.30 | 1.07 |
1.09 |
Mississippi | 43% | 24740 | |
Greenwood, MS μSA | 1.27 | 1.11 |
1.11 |
Mississippi | 71% | 24900 | |
Grenada, MS μSA | 1.33 | 1.06 |
1.09 |
Mississippi | 79% | 24980 | |
Gulfport–Biloxi–Pascagoula, MS MSA | 1.62 | 0.84 |
0.88 |
Mississippi | 100% | 25060 | |
Hattiesburg, MS MSA | 1.37 | 1.06 |
1.06 |
Mississippi | 86% | 25620 | |
Holmes County, MS | 1.50 | 1.06 |
1.06 |
Mississippi | 79% | CN2805100000000 | |
Humphreys County, MS | 1.82 | 1.00 |
1.04 |
Mississippi | 64% | CN2805300000000 | |
Indianola, MS μSA | 1.37 | 0.95 |
1.07 |
Mississippi | 64% | 26940 | |
Issaquena County, MS | 2.01 | 1.02 |
1.02 |
Mississippi | 0% | CN2805500000000 | |
Jackson, MS MSA | 2.13 | 1.08 |
1.08 |
Mississippi | 71% | 27140 | |
Jefferson County, MS | 1.48 | 1.07 |
1.12 |
Mississippi | 50% | CN2806300000000 | |
Jefferson Davis County, MS | 1.34 | 1.21 |
1.23 |
Mississippi | 0% | CN2806500000000 | |
Laurel, MS μSA | 1.36 | 1.27 |
1.27 |
Mississippi | 50% | 29860 | |
Lawrence County, MS | 1.43 | 0.96 |
1.14 |
Mississippi | 29% | CN2807700000000 | |
Leake County, MS | 1.75 | 0.90 |
0.90 |
Mississippi | 100% | CN2807900000000 | |
Marion County, MS | 1.28 | 0.84 |
0.84 |
Mississippi | 100% | CN2809100000000 | |
McComb, MS μSA | 1.27 | 0.86 |
1.09 |
Mississippi | 71% | 32620 | |
Meridian, MS μSA | 1.95 | 1.11 |
1.13 |
Mississippi | 71% | 32940 | |
Monroe County, MS | 1.27 | 0.88 |
0.97 |
Mississippi | 100% | CN2809500000000 | |
Montgomery County, MS | 1.55 | 0.91 |
0.91 |
Mississippi | 100% | CN2809700000000 | |
Neshoba County, MS | 1.36 | 1.34 |
1.36 |
Mississippi | 43% | CN2809900000000 | |
Newton County, MS | 1.59 | 1.33 |
1.33 |
Mississippi | 64% | CN2810100000000 | |
Noxubee County, MS | 1.47 | 0.90 |
0.92 |
Mississippi | 100% | CN2810300000000 | |
Oxford, MS μSA | 1.30 | 0.98 |
1.13 |
Mississippi | 43% | 37060 | |
Panola County, MS | 1.31 | 1.24 |
1.31 |
Mississippi | 7% | CN2810700000000 | |
Picayune, MS μSA | 1.30 | 1.16 |
1.17 |
Mississippi | 50% | 38100 | |
Prentiss County, MS | 1.64 | 1.40 |
1.40 |
Mississippi | 43% | CN2811700000000 | |
Quitman County, MS | 1.34 | 1.23 |
1.23 |
Mississippi | 0% | CN2811900000000 | |
Scott County, MS | 1.65 | 1.08 |
1.12 |
Mississippi | 64% | CN2812300000000 | |
Sharkey County, MS | 1.47 | 1.03 |
1.03 |
Mississippi | 0% | CN2812500000000 | |
Smith County, MS | 1.54 | 1.44 |
1.46 |
Mississippi | 36% | CN2812900000000 | |
Starkville, MS μSA | 1.30 | 0.86 |
0.88 |
Mississippi | 100% | 44260 | |
Stone County, MS | 1.49 | 1.05 |
1.06 |
Mississippi | 57% | CN2813100000000 | |
Tallahatchie County, MS | 1.40 | 1.02 |
1.22 |
Mississippi | 7% | CN2813500000000 | |
Tippah County, MS | 1.57 | 1.11 |
1.11 |
Mississippi | 71% | CN2813900000000 | |
Tishomingo County, MS | 1.55 | 1.05 |
1.05 |
Mississippi | 93% | CN2814100000000 | |
Tupelo, MS μSA | 1.27 | 1.22 |
1.22 |
Mississippi | 50% | 46180 | |
Union County, MS | 1.57 | 1.17 |
1.17 |
Mississippi | 0% | CN2814500000000 | |
Vicksburg, MS μSA | 1.35 | 1.35 |
1.35 |
Mississippi | 29% | 46980 | |
Walthall County, MS | 1.42 | 0.85 |
1.07 |
Mississippi | 86% | CN2814700000000 | |
Wayne County, MS | 2.08 | 0.96 |
1.08 |
Mississippi | 36% | CN2815300000000 | |
Webster County, MS | 1.59 | 1.12 |
1.12 |
Mississippi | 36% | CN2815500000000 | |
West Point, MS μSA | 1.50 | 0.91 |
1.10 |
Mississippi | 79% | 48500 | |
Wilkinson County, MS | 1.46 | 1.04 |
1.15 |
Mississippi | 0% | CN2815700000000 | |
Winston County, MS | 1.60 | 0.90 |
0.90 |
Mississippi | 100% | CN2815900000000 | |
Yalobusha County, MS | 1.81 | 1.43 |
1.43 |
Mississippi | 50% | CN2816100000000 | |
Atchison County, MO | 2.11 | 0.91 |
1.16 |
Missouri | 71% | CN2900500000000 | |
Barry County, MO | 2.14 | 0.81 |
1.13 |
Missouri | 71% | CN2900900000000 | |
Barton County, MO | 1.63 | 1.37 |
1.37 |
Missouri | 14% | CN2901100000000 | |
Benton County, MO | 1.81 | 0.96 |
0.96 |
Missouri | 100% | CN2901500000000 | |
Branson, MO μSA | 1.34 | 0.94 |
1.05 |
Missouri | 64% | 14700 | |
Camden County, MO | 1.39 | 0.93 |
0.99 |
Missouri | 100% | CN2902900000000 | |
Carroll County, MO | 1.97 | 0.92 |
1.01 |
Missouri | 93% | CN2903300000000 | |
Carter County, MO | 1.75 | 0.91 |
0.96 |
Missouri | 100% | CN2903500000000 | |
Cedar County, MO | 1.86 | 0.95 |
1.18 |
Missouri | 57% | CN2903900000000 | |
Chariton County, MO | 2.21 | 0.89 |
0.97 |
Missouri | 100% | CN2904100000000 | |
Columbia, MO MSA | 1.31 | 1.06 |
1.06 |
Missouri | 64% | 17860 | |
Cooper County, MO | 1.68 | 0.91 |
1.00 |
Missouri | 100% | CN2905300000000 | |
Crawford County, MO | 1.79 | 0.81 |
0.92 |
Missouri | 100% | CN2905500000000 | |
Dade County, MO | 1.91 | 0.93 |
1.02 |
Missouri | 93% | CN2905700000000 | |
Daviess County, MO | 1.90 | 0.90 |
1.10 |
Missouri | 43% | CN2906100000000 | |
Dent County, MO | 1.49 | 0.80 |
1.08 |
Missouri | 64% | CN2906500000000 | |
Douglas County, MO | 1.71 | 0.87 |
1.03 |
Missouri | 93% | CN2906700000000 | |
Farmington, MO μSA | 1.48 | 1.12 |
1.12 |
Missouri | 64% | 22100 | |
Fort Leonard Wood, MO μSA | 2.00 | 1.00 |
1.03 |
Missouri | 14% | 22780 | |
Gasconade County, MO | 2.51 | 0.85 |
0.96 |
Missouri | 100% | CN2907300000000 | |
Gentry County, MO | 1.63 | 0.90 |
0.93 |
Missouri | 100% | CN2907500000000 | |
Grundy County, MO | 1.81 | 1.08 |
1.08 |
Missouri | 50% | CN2907900000000 | |
Hannibal, MO μSA | 2.26 | 1.18 |
1.21 |
Missouri | 43% | 25300 | |
Harrison County, MO | 1.63 | 1.00 |
1.04 |
Missouri | 50% | CN2908100000000 | |
Henry County, MO | 1.61 | 0.97 |
1.24 |
Missouri | 21% | CN2908300000000 | |
Hickory County, MO | 2.08 | 0.87 |
0.87 |
Missouri | 100% | CN2908500000000 | |
Holt County, MO | 1.48 | 1.05 |
1.10 |
Missouri | 0% | CN2908700000000 | |
Howard County, MO | 2.17 | 1.07 |
1.18 |
Missouri | 7% | CN2908900000000 | |
Iron County, MO | 2.56 | 0.85 |
0.85 |
Missouri | 100% | CN2909300000000 | |
Jefferson City, MO MSA | 1.28 | 0.93 |
1.00 |
Missouri | 100% | 27620 | |
Joplin, MO MSA | 1.50 | 1.01 |
1.07 |
Missouri | 71% | 27900 | |
Kennett, MO μSA | 1.82 | 0.76 |
1.10 |
Missouri | 79% | 28380 | |
Kirksville, MO μSA | 1.55 | 1.05 |
1.05 |
Missouri | 57% | 28860 | |
Knox County, MO | 2.32 | 1.08 |
1.10 |
Missouri | 0% | CN2910300000000 | |
Lawrence County, MO | 1.47 | 0.70 |
1.05 |
Missouri | 86% | CN2910900000000 | |
Lebanon, MO μSA | 1.39 | 1.01 |
1.04 |
Missouri | 86% | 30060 | |
Linn County, MO | 2.74 | 1.22 |
1.24 |
Missouri | 36% | CN2911500000000 | |
Livingston County, MO | 2.75 | 0.87 |
1.03 |
Missouri | 93% | CN2911700000000 | |
Macon County, MO | 1.92 | 0.89 |
1.01 |
Missouri | 93% | CN2912100000000 | |
Madison County, MO | 1.99 | 0.71 |
1.09 |
Missouri | 71% | CN2912300000000 | |
Maries County, MO | 1.46 | 0.91 |
1.05 |
Missouri | 79% | CN2912500000000 | |
Marshall, MO μSA | 2.05 | 1.02 |
1.02 |
Missouri | 93% | 32180 | |
Maryville, MO μSA | 2.03 | 1.07 |
1.10 |
Missouri | 0% | 32340 | |
Mercer County, MO | 2.10 | 0.97 |
1.12 |
Missouri | 64% | CN2912900000000 | |
Mexico, MO μSA | 2.27 | 1.02 |
1.15 |
Missouri | 50% | 33020 | |
Miller County, MO | 1.61 | 0.89 |
0.94 |
Missouri | 100% | CN2913100000000 | |
Mississippi County, MO | 1.53 | 1.07 |
1.07 |
Missouri | 79% | CN2913300000000 | |
Moberly, MO μSA | 2.51 | 1.18 |
1.21 |
Missouri | 43% | 33620 | |
Monroe County, MO | 2.39 | 0.94 |
1.21 |
Missouri | 36% | CN2913700000000 | |
Montgomery County, MO | 2.52 | 0.79 |
1.03 |
Missouri | 93% | CN2913900000000 | |
Morgan County, MO | 1.54 | 0.86 |
0.86 |
Missouri | 100% | CN2914100000000 | |
New Madrid County, MO | 2.01 | 0.69 |
0.69 |
Missouri | 100% | CN2914300000000 | |
Oregon County, MO | 1.92 | 0.88 |
1.05 |
Missouri | 57% | CN2914900000000 | |
Ozark County, MO | 1.78 | 0.91 |
0.92 |
Missouri | 100% | CN2915300000000 | |
Pemiscot County, MO | 1.60 | 0.90 |
0.92 |
Missouri | 100% | CN2915500000000 | |
Perry County, MO | 1.52 | 1.08 |
1.11 |
Missouri | 0% | CN2915700000000 | |
Pike County, MO | 1.92 | 1.03 |
1.03 |
Missouri | 93% | CN2916300000000 | |
Poplar Bluff, MO μSA | 1.50 | 0.91 |
0.97 |
Missouri | 100% | 38740 | |
Putnam County, MO | 1.72 | 0.95 |
1.01 |
Missouri | 64% | CN2917100000000 | |
Reynolds County, MO | 1.99 | 0.85 |
1.05 |
Missouri | 64% | CN2917900000000 | |
Ripley County, MO | 1.84 | 0.93 |
0.94 |
Missouri | 100% | CN2918100000000 | |
Rolla, MO μSA | 1.33 | 1.01 |
1.04 |
Missouri | 71% | 40620 | |
St. Clair County, MO | 1.87 | 0.82 |
1.01 |
Missouri | 93% | CN2918500000000 | |
Scotland County, MO | 1.58 | 0.91 |
1.08 |
Missouri | 64% | CN2919900000000 | |
Sedalia, MO μSA | 1.41 | 0.94 |
0.94 |
Missouri | 100% | 42740 | |
Shannon County, MO | 1.73 | 1.07 |
1.11 |
Missouri | 0% | CN2920300000000 | |
Shelby County, MO | 2.03 | 1.19 |
1.19 |
Missouri | 0% | CN2920500000000 | |
Sikeston, MO μSA | 1.39 | 0.70 |
0.96 |
Missouri | 100% | 43460 | |
Springfield, MO MSA | 1.44 | 0.88 |
1.03 |
Missouri | 86% | 44180 | |
Ste. Genevieve County, MO | 1.60 | 0.95 |
1.27 |
Missouri | 43% | CN2918600000000 | |
Stoddard County, MO | 1.44 | 0.97 |
1.08 |
Missouri | 50% | CN2920700000000 | |
Sullivan County, MO | 1.64 | 1.23 |
1.32 |
Missouri | 0% | CN2921100000000 | |
Texas County, MO | 1.91 | 0.99 |
1.09 |
Missouri | 50% | CN2921500000000 | |
Vernon County, MO | 2.13 | 0.93 |
1.41 |
Missouri | 36% | CN2921700000000 | |
Warrensburg, MO μSA | 1.92 | 0.99 |
1.19 |
Missouri | 43% | 47660 | |
Washington County, MO | 2.27 | 0.79 |
0.87 |
Missouri | 100% | CN2922100000000 | |
Wayne County, MO | 1.90 | 0.86 |
0.94 |
Missouri | 100% | CN2922300000000 | |
West Plains, MO μSA | 1.94 | 0.90 |
0.97 |
Missouri | 100% | 48460 | |
Worth County, MO | 0.99 | 0.98 |
0.99 |
Missouri | 36% | CN2922700000000 | |
Wright County, MO | 1.78 | 1.10 |
1.10 |
Missouri | 43% | CN2922900000000 | |
Beaverhead County, MT | 1.80 | 0.98 |
1.06 |
Montana | 50% | CN3000100000000 | |
Big Horn County, MT | 2.36 | 1.16 |
1.23 |
Montana | 36% | CN3000300000000 | |
Billings, MT MSA | 1.44 | 1.12 |
1.12 |
Montana | 43% | 13740 | |
Blaine County, MT | 1.94 | 0.62 |
1.31 |
Montana | 71% | CN3000500000000 | |
Bozeman, MT μSA | 2.04 | 1.01 |
1.07 |
Montana | 0% | 14580 | |
Broadwater County, MT | 1.23 | 0.85 |
1.01 |
Montana | 93% | CN3000700000000 | |
Butte–Silver Bow, MT μSA | 1.28 | 1.12 |
1.13 |
Montana | 50% | 15580 | |
Carter County, MT | 1.02 | 1.02 |
1.02 |
Montana | 0% | CN3001100000000 | |
Chouteau County, MT | 1.39 | 0.98 |
1.10 |
Montana | 14% | CN3001500000000 | |
Custer County, MT | 1.56 | 1.00 |
1.00 |
Montana | 100% | CN3001700000000 | |
Daniels County, MT | 0.93 | 0.88 |
0.93 |
Montana | 36% | CN3001900000000 | |
Dawson County, MT | 1.48 | 0.89 |
1.18 |
Montana | 43% | CN3002100000000 | |
Deer Lodge County, MT | 1.73 | 1.04 |
1.05 |
Montana | 57% | CN3002300000000 | |
Fallon County, MT | 1.37 | 1.13 |
1.18 |
Montana | 14% | CN3002500000000 | |
Fergus County, MT | 1.75 | 1.41 |
1.52 |
Montana | 0% | CN3002700000000 | |
Garfield County, MT | 1.06 | 1.02 |
1.06 |
Montana | 0% | CN3003300000000 | |
Glacier County, MT | 1.81 | 0.88 |
1.21 |
Montana | 50% | CN3003500000000 | |
Granite County, MT | 1.07 | 0.97 |
1.07 |
Montana | 14% | CN3003900000000 | |
Great Falls, MT MSA | 1.30 | 1.11 |
1.16 |
Montana | 0% | 24500 | |
Helena, MT μSA | 1.34 | 0.99 |
1.06 |
Montana | 43% | 25740 | |
Hill County, MT | 1.54 | 0.86 |
1.04 |
Montana | 86% | CN3004100000000 | |
Judith Basin County, MT | 1.01 | 1.01 |
1.01 |
Montana | 0% | CN3004500000000 | |
Kalispell, MT μSA | 1.35 | 1.09 |
1.09 |
Montana | 57% | 28060 | |
Lake County, MT | 1.80 | 0.81 |
1.12 |
Montana | 79% | CN3004700000000 | |
Liberty County, MT | 1.01 | 1.01 |
1.01 |
Montana | 7% | CN3005100000000 | |
Lincoln County, MT | 1.62 | 0.96 |
0.96 |
Montana | 100% | CN3005300000000 | |
Madison County, MT | 1.37 | 1.06 |
1.06 |
Montana | 64% | CN3005700000000 | |
McCone County, MT | 1.06 | 1.06 |
1.06 |
Montana | 0% | CN3005500000000 | |
Meagher County, MT | 0.99 | 0.99 |
0.99 |
Montana | 36% | CN3005900000000 | |
Mineral County, MT | 1.51 | 0.85 |
0.85 |
Montana | 100% | CN3006100000000 | |
Missoula, MT MSA | 1.32 | 0.94 |
0.97 |
Montana | 100% | 33540 | |
Musselshell–Petroleum, MT LMA | 1.74 | 1.73 |
1.74 |
Montana | 0% | 81940 | |
Park County, MT | 1.46 | 0.98 |
1.23 |
Montana | 14% | CN3006700000000 | |
Phillips County, MT | 1.54 | 1.01 |
1.28 |
Montana | 0% | CN3007100000000 | |
Pondera County, MT | 1.48 | 0.94 |
0.96 |
Montana | 100% | CN3007300000000 | |
Powder River County, MT | 0.87 | 0.87 |
0.87 |
Montana | 36% | CN3007500000000 | |
Powell County, MT | 1.84 | 1.31 |
1.36 |
Montana | 0% | CN3007700000000 | |
Prairie County, MT | 1.02 | 1.02 |
1.02 |
Montana | 0% | CN3007900000000 | |
Ravalli County, MT | 1.49 | 1.05 |
1.05 |
Montana | 64% | CN3008100000000 | |
Richland County, MT | 1.80 | 1.05 |
1.28 |
Montana | 0% | CN3008300000000 | |
Roosevelt County, MT | 1.91 | 1.25 |
1.36 |
Montana | 0% | CN3008500000000 | |
Rosebud County, MT | 1.74 | 1.33 |
1.33 |
Montana | 50% | CN3008700000000 | |
Sanders County, MT | 1.57 | 0.97 |
1.01 |
Montana | 86% | CN3008900000000 | |
Sheridan County, MT | 1.48 | 1.04 |
1.05 |
Montana | 14% | CN3009100000000 | |
Stillwater County, MT | 1.45 | 1.16 |
1.17 |
Montana | 0% | CN3009500000000 | |
Sweet Grass County, MT | 1.35 | 1.09 |
1.11 |
Montana | 29% | CN3009700000000 | |
Teton County, MT | 1.31 | 1.24 |
1.24 |
Montana | 0% | CN3009900000000 | |
Toole County, MT | 1.77 | 1.24 |
1.24 |
Montana | 64% | CN3010100000000 | |
Valley County, MT | 1.53 | 0.88 |
0.98 |
Montana | 100% | CN3010500000000 | |
Wheatland County, MT | 1.06 | 1.04 |
1.06 |
Montana | 0% | CN3010700000000 | |
Wibaux County, MT | 1.02 | 1.02 |
1.02 |
Montana | 0% | CN3010900000000 | |
Antelope County, NE | 2.39 | 0.89 |
1.14 |
Nebraska | 43% | CN3100300000000 | |
Beatrice, NE μSA | 3.08 | 0.94 |
1.03 |
Nebraska | 93% | 13100 | |
Boone County, NE | 2.24 | 0.94 |
0.96 |
Nebraska | 100% | CN3101100000000 | |
Box Butte County, NE | 3.28 | 0.77 |
0.78 |
Nebraska | 100% | CN3101300000000 | |
Boyd County, NE | 1.01 | 1.01 |
1.01 |
Nebraska | 7% | CN3101500000000 | |
Brown County, NE | 1.99 | 0.93 |
1.00 |
Nebraska | 86% | CN3101700000000 | |
Burt County, NE | 2.15 | 0.99 |
1.12 |
Nebraska | 36% | CN3102100000000 | |
Butler County, NE | 2.68 | 1.11 |
1.11 |
Nebraska | 79% | CN3102300000000 | |
Cedar County, NE | 2.46 | 0.83 |
0.89 |
Nebraska | 100% | CN3102700000000 | |
Chase County, NE | 1.89 | 0.87 |
1.23 |
Nebraska | 43% | CN3102900000000 | |
Cherry County, NE | 2.21 | 1.00 |
1.00 |
Nebraska | 100% | CN3103100000000 | |
Cheyenne County, NE | 2.65 | 0.90 |
0.95 |
Nebraska | 100% | CN3103300000000 | |
Clay County, NE | 2.61 | 1.17 |
1.17 |
Nebraska | 57% | CN3103500000000 | |
Colfax County, NE | 2.66 | 0.87 |
0.94 |
Nebraska | 100% | CN3103700000000 | |
Columbus, NE μSA | 3.73 | 1.12 |
1.12 |
Nebraska | 71% | 18100 | |
Cuming County, NE | 2.07 | 1.02 |
1.02 |
Nebraska | 79% | CN3103900000000 | |
Custer County, NE | 3.12 | 1.17 |
1.17 |
Nebraska | 71% | CN3104100000000 | |
Dawes County, NE | 2.75 | 1.42 |
1.42 |
Nebraska | 57% | CN3104500000000 | |
Deuel County, NE | 1.14 | 1.07 |
1.14 |
Nebraska | 0% | CN3104900000000 | |
Dundy County, NE | 1.01 | 1.01 |
1.01 |
Nebraska | 0% | CN3105700000000 | |
Fillmore County, NE | 2.70 | 1.02 |
1.05 |
Nebraska | 57% | CN3105900000000 | |
Franklin County, NE | 1.46 | 0.99 |
0.99 |
Nebraska | 100% | CN3106100000000 | |
Fremont, NE μSA | 3.35 | 1.06 |
1.06 |
Nebraska | 79% | 23340 | |
Frontier County, NE | 2.48 | 0.98 |
0.98 |
Nebraska | 100% | CN3106300000000 | |
Furnas County, NE | 2.10 | 1.06 |
1.06 |
Nebraska | 86% | CN3106500000000 | |
Garden County, NE | 1.34 | 1.34 |
1.34 |
Nebraska | 0% | CN3106900000000 | |
Garfield County, NE | 2.28 | 1.08 |
1.08 |
Nebraska | 57% | CN3107100000000 | |
Grand Island, NE MSA | 2.51 | 0.93 |
0.95 |
Nebraska | 100% | 24260 | |
Greeley County, NE | 1.02 | 1.02 |
1.02 |
Nebraska | 0% | CN3107700000000 | |
Harlan County, NE | 0.99 | 0.99 |
0.99 |
Nebraska | 36% | CN3108300000000 | |
Hastings, NE μSA | 3.65 | 1.07 |
1.07 |
Nebraska | 79% | 25580 | |
Holt County, NE | 2.95 | 0.79 |
0.95 |
Nebraska | 100% | CN3108900000000 | |
Jefferson County, NE | 2.39 | 1.05 |
1.05 |
Nebraska | 71% | CN3109500000000 | |
Johnson County, NE | 1.74 | 1.15 |
1.15 |
Nebraska | 21% | CN3109700000000 | |
Kearney, NE μSA | 4.07 | 1.02 |
1.02 |
Nebraska | 86% | 28260 | |
Keith County, NE | 2.62 | 0.89 |
1.24 |
Nebraska | 29% | CN3110100000000 | |
Kimball County, NE | 2.26 | 0.98 |
0.98 |
Nebraska | 100% | CN3110500000000 | |
Knox County, NE | 2.39 | 1.07 |
1.10 |
Nebraska | 7% | CN3110700000000 | |
Lexington, NE μSA | 3.40 | 1.05 |
1.05 |
Nebraska | 86% | 30420 | |
Lincoln, NE MSA | 2.66 | 0.98 |
0.98 |
Nebraska | 100% | 30700 | |
Morrill County, NE | 2.71 | 0.89 |
0.89 |
Nebraska | 100% | CN3112300000000 | |
Nance County, NE | 2.13 | 1.07 |
1.08 |
Nebraska | 64% | CN3112500000000 | |
Nemaha County, NE | 2.68 | 0.95 |
1.00 |
Nebraska | 100% | CN3112700000000 | |
Norfolk, NE μSA | 3.93 | 0.94 |
0.94 |
Nebraska | 100% | 35740 | |
North Platte, NE μSA | 3.98 | 1.11 |
1.11 |
Nebraska | 71% | 35820 | |
Nuckolls County, NE | 2.12 | 1.03 |
1.09 |
Nebraska | 7% | CN3112900000000 | |
Otoe County, NE | 3.08 | 1.20 |
1.20 |
Nebraska | 14% | CN3113100000000 | |
Pawnee County, NE | 1.02 | 1.02 |
1.02 |
Nebraska | 0% | CN3113300000000 | |
Perkins County, NE | 1.54 | 0.97 |
1.38 |
Nebraska | 14% | CN3113500000000 | |
Phelps County, NE | 2.89 | 1.12 |
1.14 |
Nebraska | 71% | CN3113700000000 | |
Polk County, NE | 2.50 | 1.01 |
1.01 |
Nebraska | 86% | CN3114300000000 | |
Red Willow–Hitchcock, NE LMA | 3.22 | 0.82 |
0.96 |
Nebraska | 100% | 82500 | |
Richardson County, NE | 2.57 | 1.01 |
1.01 |
Nebraska | 79% | CN3114700000000 | |
Rock County, NE | 1.01 | 1.01 |
1.01 |
Nebraska | 0% | CN3114900000000 | |
Saline County, NE | 3.10 | 0.94 |
0.94 |
Nebraska | 100% | CN3115100000000 | |
Scottsbluff, NE μSA | 3.80 | 0.96 |
0.97 |
Nebraska | 100% | 42420 | |
Sheridan County, NE | 2.52 | 1.04 |
1.04 |
Nebraska | 93% | CN3116100000000 | |
Sherman County, NE | 2.28 | 1.00 |
1.00 |
Nebraska | 100% | CN3116300000000 | |
Thayer County, NE | 2.66 | 0.89 |
0.99 |
Nebraska | 100% | CN3116900000000 | |
Thurston County, NE | 2.51 | 0.82 |
0.82 |
Nebraska | 100% | CN3117300000000 | |
Valley County, NE | 2.36 | 0.98 |
0.98 |
Nebraska | 100% | CN3117500000000 | |
Wayne County, NE | 2.36 | 1.05 |
1.11 |
Nebraska | 36% | CN3117900000000 | |
Webster County, NE | 2.03 | 0.93 |
0.96 |
Nebraska | 100% | CN3118100000000 | |
York County, NE | 3.45 | 0.79 |
0.87 |
Nebraska | 100% | CN3118500000000 | |
Carson City, NV MSA | 1.39 | 1.00 |
1.00 |
Nevada | 93% | 16180 | |
Elko, NV μSA | 1.26 | 0.86 |
0.86 |
Nevada | 100% | 21220 | |
Fallon, NV μSA | 1.86 | 1.03 |
1.03 |
Nevada | 93% | 21980 | |
Fernley, NV μSA | 1.43 | 0.91 |
0.91 |
Nevada | 100% | 22280 | |
Gardnerville Ranchos, NV μSA | 2.05 | 0.83 |
0.98 |
Nevada | 100% | 23820 | |
Lander County, NV | 1.65 | 0.66 |
0.98 |
Nevada | 100% | CN3201500000000 | |
Las Vegas–Henderson–Paradise, NV MSA | 2.08 | 0.93 |
0.93 |
Nevada | 100% | 29820 | |
Lincoln County, NV | 2.18 | 1.65 |
1.67 |
Nevada | 0% | CN3201700000000 | |
Mineral County, NV | 1.58 | 1.03 |
1.03 |
Nevada | 57% | CN3202100000000 | |
Pahrump, NV μSA | 1.30 | 0.59 |
0.94 |
Nevada | 100% | 37220 | |
Pershing County, NV | 1.93 | 0.92 |
1.10 |
Nevada | 64% | CN3202700000000 | |
Reno, NV MSA | 1.47 | 0.91 |
0.91 |
Nevada | 100% | 39900 | |
White Pine County, NV | 1.70 | 0.73 |
1.09 |
Nevada | 86% | CN3203300000000 | |
Winnemucca, NV μSA | 1.54 | 1.06 |
1.07 |
Nevada | 0% | 49080 | |
Belmont, NH LMA | 1.35 | 0.73 |
1.12 |
New Hampshire | 71% | 80340 | |
Berlin, NH μNECTA | 1.93 | 0.69 |
1.04 |
New Hampshire | 86% | 71500 | |
Brattleboro, VT–NH LMA | 1.25 | 0.91 |
1.10 |
New Hampshire,Vermont | 36% | 80420 | |
Charlestown, NH LMA | 1.60 | 0.76 |
1.05 |
New Hampshire | 79% | 80620 | |
Claremont, NH μNECTA | 1.57 | 0.68 |
1.03 |
New Hampshire | 86% | 72500 | |
Colebrook, NH–VT LMA | 1.97 | 0.73 |
1.03 |
New Hampshire,Vermont | 86% | 80700 | |
Concord, NH μNECTA | 1.26 | 0.79 |
1.04 |
New Hampshire | 79% | 72700 | |
Franklin, NH LMA | 1.35 | 0.76 |
1.08 |
New Hampshire | 79% | 81020 | |
Haverhill, NH LMA | 1.60 | 0.68 |
1.09 |
New Hampshire | 71% | 81260 | |
Hillsborough, NH LMA | 1.55 | 0.78 |
1.04 |
New Hampshire | 79% | 81380 | |
Keene, NH μNECTA | 1.58 | 0.67 |
1.11 |
New Hampshire | 64% | 73750 | |
Laconia, NH μNECTA | 1.35 | 0.72 |
1.11 |
New Hampshire | 71% | 73900 | |
Lebanon, NH–VT μNECTA | 1.23 | 0.77 |
1.05 |
New Hampshire,Vermont | 79% | 74350 | |
Littleton, NH–VT LMA | 1.81 | 0.69 |
1.05 |
New Hampshire,Vermont | 79% | 81620 | |
Manchester, NH MNECTA | 1.61 | 0.75 |
1.02 |
New Hampshire | 79% | 74950 | |
Meredith, NH LMA | 1.33 | 0.77 |
1.09 |
New Hampshire | 57% | 81780 | |
New London, NH LMA | 1.25 | 0.77 |
1.05 |
New Hampshire | 86% | 81980 | |
Newport, NH LMA | 1.56 | 0.64 |
1.05 |
New Hampshire | 86% | 82040 | |
Peterborough, NH LMA | 1.53 | 0.75 |
1.05 |
New Hampshire | 71% | 82220 | |
Plymouth, NH LMA | 1.59 | 0.75 |
1.07 |
New Hampshire | 71% | 82300 | |
Raymond, NH LMA | 1.41 | 0.75 |
0.98 |
New Hampshire | 100% | 82460 | |
Wolfeboro, NH LMA | 1.52 | 0.87 |
1.08 |
New Hampshire | 50% | 82940 | |
Allentown–Bethlehem–Easton, PA–NJ MSA | 2.49 | 1.06 |
1.06 |
New Jersey,Pennsylvania | 64% | 10900 | |
Atlantic City–Hammonton, NJ MSA | 1.66 | 0.97 |
0.97 |
New Jersey | 100% | 12100 | |
New York–Newark–Jersey City, NY–NJ–PA MSA | 4.42 | 0.97 |
0.97 |
New Jersey,New York,Pennsylvania | 100% | 35620 | |
Ocean City, NJ MSA | 1.54 | 0.96 |
1.00 |
New Jersey | 93% | 36140 | |
Trenton, NJ MSA | 2.51 | 1.06 |
1.09 |
New Jersey | 0% | 45940 | |
Vineland–Bridgeton, NJ MSA | 1.48 | 0.93 |
0.94 |
New Jersey | 100% | 47220 | |
Alamogordo, NM μSA | 1.25 | 1.11 |
1.15 |
New Mexico | 0% | 10460 | |
Albuquerque, NM MSA | 1.57 | 1.14 |
1.14 |
New Mexico | 0% | 10740 | |
Carlsbad–Artesia, NM μSA | 1.41 | 1.02 |
1.02 |
New Mexico | 93% | 16100 | |
Catron County, NM | 1.31 | 0.70 |
1.19 |
New Mexico | 79% | CN3500300000000 | |
Clovis, NM μSA | 1.26 | 1.25 |
1.25 |
New Mexico | 29% | 17580 | |
Colfax County, NM | 1.52 | 1.17 |
1.18 |
New Mexico | 7% | CN3500700000000 | |
De Baca County, NM | 1.00 | 1.00 |
1.00 |
New Mexico | 29% | CN3501100000000 | |
Deming, NM μSA | 1.59 | 1.46 |
1.46 |
New Mexico | 0% | 19700 | |
Espanola, NM μSA | 1.55 | 1.32 |
1.39 |
New Mexico | 0% | 21580 | |
Farmington, NM MSA | 1.71 | 1.12 |
1.15 |
New Mexico | 0% | 22140 | |
Gallup, NM μSA | 1.58 | 1.02 |
1.10 |
New Mexico | 0% | 23700 | |
Grants, NM μSA | 1.20 | 0.98 |
1.10 |
New Mexico | 86% | 24380 | |
Guadalupe County, NM | 1.37 | 0.99 |
1.00 |
New Mexico | 93% | CN3501900000000 | |
Hidalgo County, NM | 1.33 | 1.07 |
1.14 |
New Mexico | 0% | CN3502300000000 | |
Hobbs, NM μSA | 1.42 | 1.05 |
1.05 |
New Mexico | 86% | 26020 | |
Las Cruces, NM MSA | 1.30 | 1.25 |
1.26 |
New Mexico | 0% | 29740 | |
Las Vegas, NM μSA | 1.37 | 0.93 |
0.94 |
New Mexico | 100% | 29780 | |
Los Alamos, NM μSA | 1.61 | 0.67 |
1.03 |
New Mexico | 93% | 31060 | |
Mora County, NM | 0.75 | 0.75 |
0.75 |
New Mexico | 36% | CN3503300000000 | |
Portales, NM μSA | 1.63 | 1.27 |
1.27 |
New Mexico | 0% | 38780 | |
Quay County, NM | 1.51 | 1.20 |
1.20 |
New Mexico | 50% | CN3503700000000 | |
Roswell, NM μSA | 1.35 | 0.94 |
0.98 |
New Mexico | 100% | 40740 | |
Ruidoso, NM μSA | 1.58 | 0.92 |
1.18 |
New Mexico | 21% | 40760 | |
Santa Fe, NM MSA | 1.22 | 1.15 |
1.15 |
New Mexico | 50% | 42140 | |
Sierra County, NM | 1.32 | 0.92 |
1.10 |
New Mexico | 71% | CN3505100000000 | |
Silver City, NM μSA | 1.43 | 1.39 |
1.40 |
New Mexico | 0% | 43500 | |
Socorro County, NM | 1.60 | 1.28 |
1.28 |
New Mexico | 0% | CN3505300000000 | |
Taos, NM μSA | 1.57 | 1.41 |
1.41 |
New Mexico | 0% | 45340 | |
Union County, NM | 1.72 | 0.91 |
1.07 |
New Mexico | 57% | CN3505900000000 | |
Albany–Schenectady–Troy, NY MSA | 2.05 | 1.05 |
1.05 |
New York | 0% | 10580 | |
Allegany County, NY | 1.31 | 1.10 |
1.10 |
New York | 0% | CN3600300000000 | |
Amsterdam, NY μSA | 1.24 | 0.98 |
1.03 |
New York | 86% | 11220 | |
Auburn, NY μSA | 1.34 | 1.04 |
1.04 |
New York | 71% | 12180 | |
Batavia, NY μSA | 1.30 | 1.01 |
1.01 |
New York | 93% | 12860 | |
Binghamton, NY MSA | 1.34 | 1.08 |
1.08 |
New York | 0% | 13780 | |
Buffalo–Cheektowaga–Niagara Falls, NY MSA | 3.95 | 1.05 |
1.05 |
New York | 0% | 15380 | |
Chenango County, NY | 1.60 | 0.87 |
1.05 |
New York | 71% | CN3601700000000 | |
Corning, NY μSA | 1.59 | 0.93 |
0.99 |
New York | 100% | 18500 | |
Cortland, NY μSA | 1.54 | 1.13 |
1.14 |
New York | 14% | 18660 | |
Delaware County, NY | 1.50 | 0.87 |
0.97 |
New York | 100% | CN3602500000000 | |
Elmira, NY MSA | 1.41 | 0.87 |
0.99 |
New York | 100% | 21300 | |
Essex County, NY | 1.67 | 1.18 |
1.24 |
New York | 0% | CN3603100000000 | |
Glens Falls, NY MSA | 1.42 | 1.09 |
1.10 |
New York | 0% | 24020 | |
Gloversville, NY μSA | 1.25 | 1.17 |
1.17 |
New York | 43% | 24100 | |
Greene County, NY | 1.72 | 0.99 |
1.01 |
New York | 93% | CN3603900000000 | |
Hamilton County, NY | 1.52 | 0.98 |
0.98 |
New York | 100% | CN3604100000000 | |
Hudson, NY μSA | 1.27 | 0.99 |
1.01 |
New York | 79% | 26460 | |
Ithaca, NY MSA | 1.84 | 1.16 |
1.16 |
New York | 7% | 27060 | |
Jamestown–Dunkirk–Fredonia, NY μSA | 1.37 | 1.10 |
1.10 |
New York | 64% | 27460 | |
Kingston, NY MSA | 1.65 | 1.00 |
1.00 |
New York | 93% | 28740 | |
Lewis County, NY | 2.02 | 1.18 |
1.18 |
New York | 0% | CN3604900000000 | |
Malone, NY μSA | 1.85 | 1.05 |
1.07 |
New York | 21% | 31660 | |
Ogdensburg–Massena, NY μSA | 1.65 | 0.99 |
1.06 |
New York | 64% | 36300 | |
Olean, NY μSA | 1.27 | 1.07 |
1.15 |
New York | 0% | 36460 | |
Oneonta, NY μSA | 2.29 | 1.13 |
1.13 |
New York | 0% | 36580 | |
Plattsburgh, NY μSA | 1.51 | 1.00 |
1.00 |
New York | 100% | 38460 | |
Rochester, NY MSA | 2.75 | 1.03 |
1.05 |
New York | 0% | 40380 | |
Schuyler County, NY | 1.56 | 0.91 |
1.09 |
New York | 79% | CN3609700000000 | |
Seneca Falls, NY μSA | 1.38 | 0.97 |
0.97 |
New York | 100% | 42900 | |
Sullivan County, NY | 3.84 | 1.05 |
1.08 |
New York | 43% | CN3610500000000 | |
Syracuse, NY MSA | 3.53 | 0.95 |
0.99 |
New York | 100% | 45060 | |
Utica–Rome, NY MSA | 1.45 | 0.96 |
1.00 |
New York | 100% | 46540 | |
Watertown–Fort Drum, NY MSA | 1.47 | 1.01 |
1.04 |
New York | 0% | 48060 | |
Wyoming County, NY | 1.50 | 0.92 |
0.95 |
New York | 100% | CN3612100000000 | |
Albemarle, NC μSA | 1.29 | 0.92 |
0.93 |
North Carolina | 100% | 10620 | |
Alleghany County, NC | 1.98 | 0.96 |
0.96 |
North Carolina | 100% | CN3700500000000 | |
Anson County, NC | 1.41 | 0.74 |
0.84 |
North Carolina | 100% | CN3700700000000 | |
Ashe County, NC | 1.46 | 0.81 |
0.81 |
North Carolina | 100% | CN3700900000000 | |
Asheville, NC MSA | 1.42 | 0.88 |
0.89 |
North Carolina | 100% | 11700 | |
Avery County, NC | 1.73 | 1.22 |
1.22 |
North Carolina | 43% | CN3701100000000 | |
Bertie County, NC | 1.43 | 1.01 |
1.01 |
North Carolina | 93% | CN3701500000000 | |
Bladen County, NC | 1.51 | 1.08 |
1.08 |
North Carolina | 71% | CN3701700000000 | |
Boone, NC μSA | 1.43 | 0.89 |
1.00 |
North Carolina | 100% | 14380 | |
Brevard, NC μSA | 1.58 | 1.00 |
1.00 |
North Carolina | 93% | 14820 | |
Burlington, NC MSA | 1.44 | 1.02 |
1.02 |
North Carolina | 93% | 15500 | |
Caswell County, NC | 1.61 | 1.07 |
1.07 |
North Carolina | 79% | CN3703300000000 | |
Charlotte–Concord–Gastonia, NC–SC MSA | 2.35 | 0.96 |
0.96 |
North Carolina,South Carolina | 100% | 16740 | |
Cherokee County, NC | 1.78 | 0.69 |
0.79 |
North Carolina | 100% | CN3703900000000 | |
Chowan County, NC | 1.59 | 1.28 |
1.28 |
North Carolina | 29% | CN3704100000000 | |
Clay County, NC | 1.55 | 0.75 |
0.75 |
North Carolina | 100% | CN3704300000000 | |
Columbus County, NC | 1.40 | 1.17 |
1.17 |
North Carolina | 0% | CN3704700000000 | |
Cullowhee, NC μSA | 1.57 | 0.63 |
0.88 |
North Carolina | 100% | 19000 | |
Dunn, NC μSA | 1.31 | 0.98 |
0.99 |
North Carolina | 100% | 20380 | |
Duplin County, NC | 1.35 | 0.74 |
0.87 |
North Carolina | 100% | CN3706100000000 | |
Durham–Chapel Hill, NC MSA | 1.58 | 0.98 |
0.98 |
North Carolina | 100% | 20500 | |
Elizabeth City, NC μSA | 1.24 | 1.02 |
1.07 |
North Carolina | 0% | 21020 | |
Fayetteville, NC MSA | 1.33 | 1.10 |
1.10 |
North Carolina | 43% | 22180 | |
Forest City, NC μSA | 1.38 | 0.85 |
0.85 |
North Carolina | 100% | 22580 | |
Goldsboro, NC MSA | 1.64 | 1.22 |
1.24 |
North Carolina | 0% | 24140 | |
Graham County, NC | 1.39 | 0.90 |
0.95 |
North Carolina | 100% | CN3707500000000 | |
Greene County, NC | 1.50 | 1.33 |
1.33 |
North Carolina | 50% | CN3707900000000 | |
Greensboro–High Point, NC MSA | 1.53 | 0.93 |
0.93 |
North Carolina | 100% | 24660 | |
Greenville, NC MSA | 1.27 | 1.01 |
1.01 |
North Carolina | 93% | 24780 | |
Henderson, NC μSA | 1.33 | 0.95 |
1.01 |
North Carolina | 93% | 25780 | |
Hertford County, NC | 1.75 | 0.90 |
1.16 |
North Carolina | 79% | CN3709100000000 | |
Hickory–Lenoir–Morganton, NC MSA | 1.33 | 0.94 |
0.94 |
North Carolina | 100% | 25860 | |
Hyde County, NC | 1.51 | 0.99 |
1.00 |
North Carolina | 100% | CN3709500000000 | |
Jacksonville, NC MSA | 1.22 | 0.99 |
1.12 |
North Carolina | 14% | 27340 | |
Kill Devil Hills, NC μSA | 1.61 | 1.26 |
1.28 |
North Carolina | 0% | 28620 | |
Kinston, NC μSA | 1.26 | 1.14 |
1.15 |
North Carolina | 71% | 28820 | |
Laurinburg, NC μSA | 1.28 | 1.18 |
1.18 |
North Carolina | 64% | 29900 | |
Lumberton, NC μSA | 1.55 | 1.06 |
1.06 |
North Carolina | 79% | 31300 | |
Macon County, NC | 2.08 | 0.90 |
0.92 |
North Carolina | 100% | CN3711300000000 | |
Marion, NC μSA | 1.31 | 0.92 |
0.92 |
North Carolina | 100% | 32000 | |
Martin County, NC | 1.45 | 1.15 |
1.15 |
North Carolina | 64% | CN3711700000000 | |
Mitchell County, NC | 1.59 | 0.90 |
1.06 |
North Carolina | 71% | CN3712100000000 | |
Montgomery County, NC | 1.18 | 1.07 |
1.07 |
North Carolina | 0% | CN3712300000000 | |
Morehead City, NC μSA | 1.57 | 0.65 |
0.88 |
North Carolina | 100% | 33980 | |
Mount Airy, NC μSA | 1.34 | 1.12 |
1.12 |
North Carolina | 57% | 34340 | |
Myrtle Beach–Conway–North Myrtle Beach, SC–NC MSA | 1.42 | 0.97 |
0.97 |
North Carolina,South Carolina | 100% | 34820 | |
New Bern, NC MSA | 1.37 | 0.98 |
0.98 |
North Carolina | 100% | 35100 | |
North Wilkesboro, NC μSA | 1.56 | 0.93 |
0.93 |
North Carolina | 100% | 35900 | |
Oxford, NC μSA | 2.05 | 1.00 |
1.00 |
North Carolina | 93% | 37080 | |
Pinehurst–Southern Pines, NC μSA | 1.44 | 0.97 |
0.97 |
North Carolina | 100% | 38240 | |
Polk County, NC | 1.28 | 1.11 |
1.11 |
North Carolina | 0% | CN3714900000000 | |
Raleigh, NC MSA | 1.48 | 0.98 |
0.98 |
North Carolina | 100% | 39580 | |
Roanoke Rapids, NC μSA | 1.29 | 0.90 |
1.01 |
North Carolina | 93% | 40260 | |
Rockingham, NC μSA | 1.31 | 1.06 |
1.06 |
North Carolina | 79% | 40460 | |
Rocky Mount, NC MSA | 1.28 | 0.87 |
0.87 |
North Carolina | 100% | 40580 | |
Sampson County, NC | 1.31 | 0.81 |
1.01 |
North Carolina | 86% | CN3716300000000 | |
Sanford, NC μSA | 1.42 | 0.93 |
0.94 |
North Carolina | 100% | 41820 | |
Shelby, NC μSA | 1.25 | 0.86 |
0.86 |
North Carolina | 100% | 43140 | |
Swain County, NC | 1.43 | 0.91 |
0.91 |
North Carolina | 100% | CN3717300000000 | |
Virginia Beach–Norfolk–Newport News, VA–NC MSA | 1.68 | 0.92 |
0.92 |
North Carolina,Virginia | 100% | 47260 | |
Warren County, NC | 1.45 | 1.05 |
1.13 |
North Carolina | 7% | CN3718500000000 | |
Washington County, NC | 1.53 | 0.95 |
0.96 |
North Carolina | 100% | CN3718700000000 | |
Washington, NC μSA | 1.18 | 0.98 |
1.00 |
North Carolina | 100% | 47820 | |
Wilmington, NC MSA | 1.28 | 0.87 |
0.87 |
North Carolina | 100% | 48900 | |
Wilson, NC μSA | 1.26 | 0.84 |
0.89 |
North Carolina | 100% | 48980 | |
Winston–Salem, NC MSA | 1.52 | 0.95 |
0.95 |
North Carolina | 100% | 49180 | |
Yancey County, NC | 2.02 | 0.74 |
0.93 |
North Carolina | 100% | CN3719900000000 | |
Adams County, ND | 1.04 | 1.00 |
1.04 |
North Dakota | 7% | CN3800100000000 | |
Barnes County, ND | 1.71 | 1.04 |
1.06 |
North Dakota | 29% | CN3800300000000 | |
Benson County, ND | 1.60 | 1.33 |
1.33 |
North Dakota | 0% | CN3800500000000 | |
Bismarck, ND MSA | 1.34 | 0.97 |
0.97 |
North Dakota | 100% | 13900 | |
Bottineau County, ND | 1.48 | 0.92 |
1.01 |
North Dakota | 57% | CN3800900000000 | |
Bowman County, ND | 2.05 | 1.16 |
1.17 |
North Dakota | 0% | CN3801100000000 | |
Burke County, ND | 1.02 | 1.02 |
1.02 |
North Dakota | 0% | CN3801300000000 | |
Cavalier County, ND | 2.02 | 1.02 |
1.03 |
North Dakota | 43% | CN3801900000000 | |
Dickey County, ND | 1.74 | 0.98 |
1.05 |
North Dakota | 57% | CN3802100000000 | |
Dickinson, ND μSA | 1.41 | 1.03 |
1.05 |
North Dakota | 0% | 19860 | |
Divide County, ND | 1.23 | 1.22 |
1.23 |
North Dakota | 0% | CN3802300000000 | |
Dunn County, ND | 1.20 | 1.07 |
1.08 |
North Dakota | 64% | CN3802500000000 | |
Eddy County, ND | 1.33 | 1.19 |
1.19 |
North Dakota | 0% | CN3802700000000 | |
Emmons County, ND | 1.94 | 1.03 |
1.03 |
North Dakota | 0% | CN3802900000000 | |
Foster County, ND | 1.64 | 1.04 |
1.15 |
North Dakota | 7% | CN3803100000000 | |
Golden Valley County, ND | 1.22 | 1.18 |
1.22 |
North Dakota | 0% | CN3803300000000 | |
Grant County, ND | 1.06 | 1.03 |
1.06 |
North Dakota | 0% | CN3803700000000 | |
Griggs County, ND | 1.11 | 1.03 |
1.06 |
North Dakota | 21% | CN3803900000000 | |
Hettinger County, ND | 1.04 | 0.91 |
1.04 |
North Dakota | 29% | CN3804100000000 | |
Jamestown, ND μSA | 2.06 | 1.10 |
1.10 |
North Dakota | 50% | 27420 | |
Kidder County, ND | 1.04 | 1.04 |
1.04 |
North Dakota | 7% | CN3804300000000 | |
LaMoure County, ND | 1.33 | 0.96 |
0.97 |
North Dakota | 100% | CN3804500000000 | |
Logan County, ND | 1.02 | 1.02 |
1.02 |
North Dakota | 0% | CN3804700000000 | |
McIntosh County, ND | 1.59 | 0.99 |
1.04 |
North Dakota | 50% | CN3805100000000 | |
McKenzie County, ND | 1.67 | 0.84 |
0.91 |
North Dakota | 100% | CN3805300000000 | |
McLean County, ND | 1.39 | 1.13 |
1.13 |
North Dakota | 0% | CN3805500000000 | |
Mercer County, ND | 1.51 | 1.00 |
1.00 |
North Dakota | 100% | CN3805700000000 | |
Minot, ND μSA | 1.34 | 1.06 |
1.06 |
North Dakota | 21% | 33500 | |
Mountrail County, ND | 1.47 | 0.97 |
1.00 |
North Dakota | 93% | CN3806100000000 | |
Nelson County, ND | 1.53 | 1.10 |
1.11 |
North Dakota | 14% | CN3806300000000 | |
Pembina County, ND | 1.49 | 1.40 |
1.40 |
North Dakota | 7% | CN3806700000000 | |
Pierce County, ND | 1.61 | 0.99 |
1.10 |
North Dakota | 36% | CN3806900000000 | |
Ramsey County, ND | 1.33 | 1.17 |
1.19 |
North Dakota | 0% | CN3807100000000 | |
Ransom County, ND | 1.49 | 0.93 |
0.94 |
North Dakota | 100% | CN3807300000000 | |
Rolette County, ND | 1.71 | 1.18 |
1.18 |
North Dakota | 0% | CN3807900000000 | |
Sargent County, ND | 1.43 | 1.06 |
1.11 |
North Dakota | 0% | CN3808100000000 | |
Sheridan County, ND | 1.46 | 1.36 |
1.46 |
North Dakota | 0% | CN3808300000000 | |
Steele County, ND | 1.03 | 1.02 |
1.03 |
North Dakota | 0% | CN3809100000000 | |
Towner County, ND | 1.33 | 1.32 |
1.33 |
North Dakota | 0% | CN3809500000000 | |
Traill County, ND | 1.42 | 1.32 |
1.32 |
North Dakota | 0% | CN3809700000000 | |
Walsh County, ND | 1.52 | 0.78 |
1.22 |
North Dakota | 57% | CN3809900000000 | |
Wells County, ND | 1.62 | 1.09 |
1.14 |
North Dakota | 14% | CN3810300000000 | |
Williston, ND μSA | 1.75 | 0.93 |
0.97 |
North Dakota | 100% | 48780 | |
Adams County, OH | 1.47 | 0.97 |
0.97 |
Ohio | 100% | CN3900100000000 | |
Akron, OH MSA | 1.89 | 1.06 |
1.06 |
Ohio | 57% | 10420 | |
Ashland, OH μSA | 1.24 | 0.94 |
0.95 |
Ohio | 100% | 11740 | |
Ashtabula, OH μSA | 1.31 | 1.04 |
1.07 |
Ohio | 0% | 11780 | |
Athens, OH μSA | 2.13 | 1.11 |
1.11 |
Ohio | 64% | 11900 | |
Bellefontaine, OH μSA | 1.45 | 1.11 |
1.14 |
Ohio | 0% | 13340 | |
Bucyrus, OH μSA | 1.21 | 1.00 |
1.00 |
Ohio | 93% | 15340 | |
Cambridge, OH μSA | 1.56 | 1.00 |
1.01 |
Ohio | 64% | 15740 | |
Canton–Massillon, OH MSA | 1.54 | 0.98 |
0.98 |
Ohio | 100% | 15940 | |
Celina, OH μSA | 1.80 | 1.02 |
1.04 |
Ohio | 64% | 16380 | |
Chillicothe, OH μSA | 1.28 | 1.02 |
1.02 |
Ohio | 79% | 17060 | |
Cleveland–Elyria, OH MSA | 2.92 | 1.01 |
1.01 |
Ohio | 86% | 17460 | |
Columbus, OH MSA | 2.60 | 0.98 |
0.98 |
Ohio | 100% | 18140 | |
Coshocton, OH μSA | 1.57 | 1.06 |
1.06 |
Ohio | 64% | 18740 | |
Dayton, OH MSA | 1.94 | 1.03 |
1.03 |
Ohio | 79% | 19380 | |
Defiance, OH μSA | 1.22 | 1.01 |
1.07 |
Ohio | 0% | 19580 | |
Findlay, OH μSA | 1.43 | 0.99 |
0.99 |
Ohio | 100% | 22300 | |
Fremont, OH μSA | 1.27 | 1.01 |
1.01 |
Ohio | 93% | 23380 | |
Greenville, OH μSA | 1.33 | 1.02 |
1.03 |
Ohio | 64% | 24820 | |
Hardin County, OH | 1.36 | 0.96 |
1.01 |
Ohio | 93% | CN3906500000000 | |
Harrison County, OH | 1.50 | 1.11 |
1.11 |
Ohio | 64% | CN3906700000000 | |
Henry County, OH | 1.61 | 1.04 |
1.11 |
Ohio | 14% | CN3906900000000 | |
Highland County, OH | 1.31 | 1.04 |
1.05 |
Ohio | 36% | CN3907100000000 | |
Holmes County, OH | 1.38 | 1.05 |
1.11 |
Ohio | 0% | CN3907500000000 | |
Jackson, OH μSA | 1.77 | 0.93 |
0.96 |
Ohio | 100% | 27160 | |
Lima, OH MSA | 1.35 | 1.04 |
1.04 |
Ohio | 71% | 30620 | |
Mansfield, OH MSA | 1.32 | 0.89 |
0.89 |
Ohio | 100% | 31900 | |
Marietta, OH μSA | 1.23 | 0.84 |
0.84 |
Ohio | 100% | 31930 | |
Marion, OH μSA | 2.02 | 1.05 |
1.05 |
Ohio | 71% | 32020 | |
Meigs County, OH | 1.46 | 1.10 |
1.11 |
Ohio | 64% | CN3910500000000 | |
Monroe County, OH | 1.55 | 0.77 |
1.00 |
Ohio | 100% | CN3911100000000 | |
Morgan County, OH | 1.52 | 0.56 |
0.99 |
Ohio | 100% | CN3911500000000 | |
Mount Vernon, OH μSA | 1.38 | 1.02 |
1.02 |
Ohio | 79% | 34540 | |
New Philadelphia–Dover, OH μSA | 1.40 | 0.94 |
0.95 |
Ohio | 100% | 35420 | |
Noble County, OH | 1.37 | 1.08 |
1.08 |
Ohio | 64% | CN3912100000000 | |
Norwalk, OH μSA | 1.30 | 1.10 |
1.10 |
Ohio | 7% | 35940 | |
Paulding County, OH | 1.42 | 0.81 |
0.90 |
Ohio | 100% | CN3912500000000 | |
Pike County, OH | 1.53 | 0.94 |
0.95 |
Ohio | 100% | CN3913100000000 | |
Point Pleasant, WV–OH μSA | 1.32 | 0.82 |
0.84 |
Ohio,West Virginia | 100% | 38580 | |
Port Clinton, OH μSA | 1.75 | 1.18 |
1.18 |
Ohio | 14% | 38840 | |
Portsmouth, OH μSA | 1.40 | 0.97 |
0.97 |
Ohio | 100% | 39020 | |
Preble County, OH | 1.22 | 0.95 |
0.95 |
Ohio | 100% | CN3913500000000 | |
Putnam County, OH | 1.34 | 1.07 |
1.07 |
Ohio | 7% | CN3913700000000 | |
Salem, OH μSA | 1.46 | 0.97 |
0.97 |
Ohio | 100% | 41400 | |
Sandusky, OH μSA | 1.32 | 1.10 |
1.12 |
Ohio | 0% | 41780 | |
Sidney, OH μSA | 1.28 | 1.09 |
1.09 |
Ohio | 64% | 43380 | |
Springfield, OH MSA | 1.25 | 1.05 |
1.05 |
Ohio | 71% | 44220 | |
Tiffin, OH μSA | 1.30 | 1.13 |
1.14 |
Ohio | 43% | 45660 | |
Toledo, OH MSA | 2.15 | 0.99 |
0.99 |
Ohio | 100% | 45780 | |
Urbana, OH μSA | 1.59 | 0.94 |
0.94 |
Ohio | 100% | 46500 | |
Van Wert, OH μSA | 1.44 | 1.08 |
1.08 |
Ohio | 64% | 46780 | |
Vinton County, OH | 1.55 | 1.06 |
1.07 |
Ohio | 64% | CN3916300000000 | |
Wapakoneta, OH μSA | 1.62 | 0.86 |
0.91 |
Ohio | 100% | 47540 | |
Washington Court House, OH μSA | 1.89 | 0.97 |
0.97 |
Ohio | 100% | 47920 | |
Weirton–Steubenville, WV–OH MSA | 1.35 | 1.02 |
1.02 |
Ohio,West Virginia | 86% | 48260 | |
Wheeling, WV–OH MSA | 1.33 | 0.88 |
0.95 |
Ohio,West Virginia | 100% | 48540 | |
Williams County, OH | 1.78 | 1.02 |
1.04 |
Ohio | 36% | CN3917100000000 | |
Wilmington, OH μSA | 1.49 | 1.07 |
1.07 |
Ohio | 64% | 48940 | |
Wooster, OH μSA | 1.28 | 0.90 |
0.91 |
Ohio | 100% | 49300 | |
Wyandot County, OH | 1.40 | 0.88 |
1.00 |
Ohio | 100% | CN3917500000000 | |
Youngstown–Warren–Boardman, OH–PA MSA | 1.91 | 0.98 |
0.98 |
Ohio,Pennsylvania | 100% | 49660 | |
Zanesville, OH μSA | 1.33 | 0.92 |
0.92 |
Ohio | 100% | 49780 | |
Ada, OK μSA | 1.36 | 0.92 |
0.94 |
Oklahoma | 100% | 10220 | |
Adair County, OK | 1.57 | 1.07 |
1.07 |
Oklahoma | 71% | CN4000100000000 | |
Alfalfa County, OK | 1.88 | 1.07 |
1.12 |
Oklahoma | 0% | CN4000300000000 | |
Altus, OK μSA | 2.20 | 1.16 |
1.20 |
Oklahoma | 0% | 11060 | |
Ardmore, OK μSA | 1.27 | 1.09 |
1.10 |
Oklahoma | 0% | 11620 | |
Atoka County, OK | 1.63 | 0.89 |
0.94 |
Oklahoma | 100% | CN4000500000000 | |
Bartlesville, OK μSA | 1.32 | 0.69 |
0.84 |
Oklahoma | 100% | 12780 | |
Beaver County, OK | 1.50 | 1.07 |
1.19 |
Oklahoma | 0% | CN4000700000000 | |
Blaine County, OK | 1.31 | 1.04 |
1.17 |
Oklahoma | 43% | CN4001100000000 | |
Caddo County, OK | 1.32 | 0.67 |
1.08 |
Oklahoma | 57% | CN4001500000000 | |
Choctaw County, OK | 1.69 | 0.68 |
0.95 |
Oklahoma | 100% | CN4002300000000 | |
Cimarron County, OK | 1.22 | 1.05 |
1.22 |
Oklahoma | 0% | CN4002500000000 | |
Coal County, OK | 1.54 | 0.96 |
1.23 |
Oklahoma | 43% | CN4002900000000 | |
Craig County, OK | 1.89 | 0.83 |
1.07 |
Oklahoma | 36% | CN4003500000000 | |
Delaware County, OK | 1.38 | 0.91 |
1.02 |
Oklahoma | 79% | CN4004100000000 | |
Dewey County, OK | 1.35 | 1.06 |
1.10 |
Oklahoma | 0% | CN4004300000000 | |
Duncan, OK μSA | 1.27 | 1.13 |
1.14 |
Oklahoma | 29% | 20340 | |
Durant, OK μSA | 1.36 | 1.35 |
1.36 |
Oklahoma | 0% | 20460 | |
Elk City, OK μSA | 1.85 | 0.99 |
1.23 |
Oklahoma | 57% | 21120 | |
Ellis County, OK | 1.66 | 0.91 |
1.24 |
Oklahoma | 36% | CN4004500000000 | |
Enid, OK MSA | 1.41 | 0.90 |
1.13 |
Oklahoma | 36% | 21420 | |
Garvin County, OK | 1.25 | 1.21 |
1.25 |
Oklahoma | 7% | CN4004900000000 | |
Grant County, OK | 1.33 | 1.08 |
1.08 |
Oklahoma | 0% | CN4005300000000 | |
Greer County, OK | 1.48 | 1.02 |
1.02 |
Oklahoma | 79% | CN4005500000000 | |
Guymon, OK μSA | 2.09 | 1.23 |
1.26 |
Oklahoma | 0% | 25100 | |
Harmon County, OK | 1.58 | 1.05 |
1.05 |
Oklahoma | 0% | CN4005700000000 | |
Harper County, OK | 1.47 | 1.11 |
1.12 |
Oklahoma | 36% | CN4005900000000 | |
Haskell County, OK | 1.50 | 1.01 |
1.01 |
Oklahoma | 93% | CN4006100000000 | |
Hughes County, OK | 1.94 | 0.90 |
1.33 |
Oklahoma | 21% | CN4006300000000 | |
Jefferson County, OK | 1.49 | 1.08 |
1.11 |
Oklahoma | 0% | CN4006700000000 | |
Johnston County, OK | 1.36 | 1.05 |
1.05 |
Oklahoma | 57% | CN4006900000000 | |
Kingfisher County, OK | 1.37 | 1.02 |
1.20 |
Oklahoma | 0% | CN4007300000000 | |
Kiowa County, OK | 1.45 | 0.83 |
0.99 |
Oklahoma | 100% | CN4007500000000 | |
Latimer County, OK | 1.47 | 0.96 |
1.05 |
Oklahoma | 79% | CN4007700000000 | |
Lawton, OK MSA | 1.28 | 0.75 |
0.82 |
Oklahoma | 100% | 30020 | |
Love County, OK | 1.57 | 0.97 |
0.97 |
Oklahoma | 100% | CN4008500000000 | |
Major County, OK | 1.36 | 1.26 |
1.28 |
Oklahoma | 0% | CN4009300000000 | |
Marshall County, OK | 1.59 | 1.40 |
1.41 |
Oklahoma | 43% | CN4009500000000 | |
Mayes County, OK | 1.28 | 0.92 |
0.92 |
Oklahoma | 100% | CN4009700000000 | |
McAlester, OK μSA | 1.42 | 1.07 |
1.26 |
Oklahoma | 0% | 32540 | |
McCurtain County, OK | 1.28 | 0.87 |
0.99 |
Oklahoma | 100% | CN4008900000000 | |
McIntosh County, OK | 1.31 | 1.15 |
1.15 |
Oklahoma | 57% | CN4009100000000 | |
Miami, OK μSA | 1.38 | 1.07 |
1.10 |
Oklahoma | 0% | 33060 | |
Murray County, OK | 1.36 | 1.07 |
1.17 |
Oklahoma | 50% | CN4009900000000 | |
Muskogee, OK μSA | 1.41 | 0.96 |
0.99 |
Oklahoma | 100% | 34780 | |
Noble County, OK | 1.75 | 0.97 |
1.16 |
Oklahoma | 71% | CN4010300000000 | |
Nowata County, OK | 1.58 | 0.98 |
1.05 |
Oklahoma | 71% | CN4010500000000 | |
Okfuskee County, OK | 1.75 | 0.99 |
1.09 |
Oklahoma | 86% | CN4010700000000 | |
Oklahoma City, OK MSA | 2.26 | 0.93 |
0.99 |
Oklahoma | 100% | 36420 | |
Ponca City, OK μSA | 1.39 | 1.03 |
1.06 |
Oklahoma | 0% | 38620 | |
Pushmataha County, OK | 1.45 | 0.82 |
0.98 |
Oklahoma | 100% | CN4012700000000 | |
Roger Mills County, OK | 1.58 | 1.24 |
1.24 |
Oklahoma | 0% | CN4012900000000 | |
Seminole County, OK | 1.25 | 1.25 |
1.25 |
Oklahoma | 0% | CN4013300000000 | |
Shawnee, OK μSA | 1.29 | 0.69 |
1.25 |
Oklahoma | 71% | 43060 | |
Stillwater, OK μSA | 1.60 | 1.04 |
1.05 |
Oklahoma | 71% | 44660 | |
Tahlequah, OK μSA | 1.23 | 0.58 |
0.85 |
Oklahoma | 100% | 45140 | |
Tillman County, OK | 1.49 | 0.99 |
1.10 |
Oklahoma | 57% | CN4014100000000 | |
Tulsa, OK MSA | 1.95 | 0.98 |
0.98 |
Oklahoma | 100% | 46140 | |
Washita County, OK | 1.46 | 1.22 |
1.27 |
Oklahoma | 0% | CN4014900000000 | |
Weatherford, OK μSA | 1.24 | 0.98 |
1.14 |
Oklahoma | 36% | 48220 | |
Woods County, OK | 1.96 | 0.95 |
1.19 |
Oklahoma | 29% | CN4015100000000 | |
Woodward, OK μSA | 2.50 | 1.18 |
1.25 |
Oklahoma | 0% | 49260 | |
Albany, OR MSA | 1.29 | 1.03 |
1.03 |
Oregon | 43% | 10540 | |
Astoria, OR μSA | 2.07 | 0.90 |
0.90 |
Oregon | 100% | 11820 | |
Baker County, OR | 1.91 | 0.92 |
0.99 |
Oregon | 100% | CN4100100000000 | |
Bend–Redmond, OR MSA | 1.32 | 1.07 |
1.07 |
Oregon | 43% | 13460 | |
Brookings, OR μSA | 2.02 | 1.23 |
1.23 |
Oregon | 36% | 15060 | |
Coos Bay, OR μSA | 1.66 | 0.99 |
1.00 |
Oregon | 93% | 18300 | |
Corvallis, OR MSA | 1.48 | 1.07 |
1.07 |
Oregon | 7% | 18700 | |
Eugene, OR MSA | 1.36 | 0.97 |
0.97 |
Oregon | 100% | 21660 | |
Gilliam County, OR | 1.06 | 1.04 |
1.06 |
Oregon | 0% | CN4102100000000 | |
Grant County, OR | 1.86 | 0.89 |
0.89 |
Oregon | 100% | CN4102300000000 | |
Grants Pass, OR MSA | 1.34 | 0.93 |
0.98 |
Oregon | 100% | 24420 | |
Harney County, OR | 1.53 | 0.81 |
0.85 |
Oregon | 100% | CN4102500000000 | |
Hermiston–Pendleton, OR μSA | 1.36 | 0.89 |
0.89 |
Oregon | 100% | 25840 | |
Hood River, OR μSA | 1.55 | 0.94 |
0.95 |
Oregon | 100% | 26220 | |
Jefferson County, OR | 1.64 | 0.96 |
1.06 |
Oregon | 29% | CN4103100000000 | |
Klamath Falls, OR μSA | 1.36 | 0.96 |
0.96 |
Oregon | 100% | 28900 | |
La Grande, OR μSA | 2.78 | 0.91 |
0.91 |
Oregon | 100% | 29260 | |
Lake County, OR | 1.65 | 1.09 |
1.10 |
Oregon | 50% | CN4103700000000 | |
Medford, OR MSA | 1.30 | 0.97 |
0.99 |
Oregon | 100% | 32780 | |
Newport, OR μSA | 2.44 | 1.11 |
1.11 |
Oregon | 0% | 35440 | |
Portland–Vancouver–Hillsboro, OR–WA MSA | 1.80 | 1.07 |
1.07 |
Oregon,Washington | 21% | 38900 | |
Prineville, OR μSA | 1.54 | 0.87 |
1.04 |
Oregon | 79% | 39260 | |
Roseburg, OR μSA | 1.33 | 0.96 |
1.03 |
Oregon | 36% | 40700 | |
Salem, OR MSA | 1.55 | 1.01 |
1.01 |
Oregon | 86% | 41420 | |
Sherman County, OR | 1.30 | 1.30 |
1.30 |
Oregon | 0% | CN4105500000000 | |
The Dalles, OR μSA | 1.77 | 0.95 |
0.95 |
Oregon | 100% | 45520 | |
Tillamook County, OR | 1.67 | 1.12 |
1.13 |
Oregon | 7% | CN4105700000000 | |
Wallowa County, OR | 1.26 | 0.93 |
0.93 |
Oregon | 100% | CN4106300000000 | |
Wheeler County, OR | 0.76 | 0.76 |
0.76 |
Oregon | 36% | CN4106900000000 | |
Altoona, PA MSA | 1.33 | 1.12 |
1.12 |
Pennsylvania | 0% | 11020 | |
Bedford County, PA | 1.34 | 0.95 |
0.96 |
Pennsylvania | 100% | CN4200900000000 | |
Bloomsburg–Berwick, PA MSA | 1.49 | 1.09 |
1.10 |
Pennsylvania | 0% | 14100 | |
Bradford, PA μSA | 1.55 | 1.08 |
1.08 |
Pennsylvania | 57% | 14620 | |
Cameron County, PA | 1.74 | 0.91 |
1.07 |
Pennsylvania | 86% | CN4202300000000 | |
Chambersburg–Waynesboro, PA MSA | 1.38 | 1.00 |
1.00 |
Pennsylvania | 100% | 16540 | |
Clarion County, PA | 1.26 | 1.17 |
1.17 |
Pennsylvania | 0% | CN4203100000000 | |
DuBois, PA μSA | 1.26 | 1.07 |
1.07 |
Pennsylvania | 0% | 20180 | |
East Stroudsburg, PA MSA | 1.74 | 0.98 |
1.00 |
Pennsylvania | 100% | 20700 | |
Erie, PA MSA | 1.48 | 1.07 |
1.07 |
Pennsylvania | 0% | 21500 | |
Forest County, PA | 1.77 | 0.98 |
1.09 |
Pennsylvania | 29% | CN4205300000000 | |
Fulton County, PA | 1.63 | 1.08 |
1.08 |
Pennsylvania | 36% | CN4205700000000 | |
Gettysburg, PA MSA | 1.24 | 1.05 |
1.06 |
Pennsylvania | 0% | 23900 | |
Greene County, PA | 1.71 | 0.97 |
1.14 |
Pennsylvania | 50% | CN4205900000000 | |
Harrisburg–Carlisle, PA MSA | 1.50 | 0.99 |
1.00 |
Pennsylvania | 100% | 25420 | |
Huntingdon, PA μSA | 1.45 | 0.86 |
0.94 |
Pennsylvania | 100% | 26500 | |
Indiana, PA μSA | 1.31 | 1.16 |
1.16 |
Pennsylvania | 0% | 26860 | |
Jefferson County, PA | 1.30 | 1.09 |
1.09 |
Pennsylvania | 14% | CN4206500000000 | |
Johnstown, PA MSA | 1.44 | 1.05 |
1.05 |
Pennsylvania | 0% | 27780 | |
Juniata County, PA | 1.34 | 1.02 |
1.02 |
Pennsylvania | 86% | CN4206700000000 | |
Lancaster, PA MSA | 2.47 | 1.01 |
1.01 |
Pennsylvania | 64% | 29540 | |
Lebanon, PA MSA | 1.59 | 1.04 |
1.04 |
Pennsylvania | 64% | 30140 | |
Lewisburg, PA μSA | 1.78 | 1.29 |
1.29 |
Pennsylvania | 0% | 30260 | |
Lewistown, PA μSA | 1.44 | 1.04 |
1.05 |
Pennsylvania | 0% | 30380 | |
Lock Haven, PA μSA | 1.46 | 1.13 |
1.13 |
Pennsylvania | 0% | 30820 | |
Meadville, PA μSA | 1.27 | 0.95 |
1.00 |
Pennsylvania | 100% | 32740 | |
New Castle, PA μSA | 1.36 | 0.97 |
0.97 |
Pennsylvania | 100% | 35260 | |
Oil City, PA μSA | 1.31 | 1.07 |
1.07 |
Pennsylvania | 43% | 36340 | |
Pittsburgh, PA MSA | 2.73 | 1.07 |
1.07 |
Pennsylvania | 57% | 38300 | |
Potter County, PA | 1.47 | 0.88 |
0.88 |
Pennsylvania | 100% | CN4210500000000 | |
Pottsville, PA μSA | 1.76 | 1.08 |
1.08 |
Pennsylvania | 0% | 39060 | |
Reading, PA MSA | 2.45 | 1.10 |
1.11 |
Pennsylvania | 0% | 39740 | |
St. Marys, PA μSA | 1.93 | 1.12 |
1.13 |
Pennsylvania | 36% | 41260 | |
Sayre, PA μSA | 1.36 | 0.94 |
1.03 |
Pennsylvania | 86% | 42380 | |
Scranton—Wilkes–Barre—Hazleton, PA MSA | 2.75 | 1.02 |
1.02 |
Pennsylvania | 79% | 42540 | |
Selinsgrove, PA μSA | 1.22 | 1.05 |
1.05 |
Pennsylvania | 57% | 42780 | |
Somerset, PA μSA | 1.25 | 1.16 |
1.16 |
Pennsylvania | 43% | 43740 | |
State College, PA MSA | 1.49 | 1.09 |
1.09 |
Pennsylvania | 64% | 44300 | |
Sullivan County, PA | 1.23 | 0.98 |
1.00 |
Pennsylvania | 93% | CN4211300000000 | |
Sunbury, PA μSA | 1.33 | 1.12 |
1.12 |
Pennsylvania | 29% | 44980 | |
Susquehanna County, PA | 1.62 | 1.15 |
1.15 |
Pennsylvania | 0% | CN4211500000000 | |
Tioga County, PA | 1.33 | 1.16 |
1.17 |
Pennsylvania | 0% | CN4211700000000 | |
Warren, PA μSA | 1.44 | 1.12 |
1.13 |
Pennsylvania | 0% | 47620 | |
Wayne County, PA | 1.27 | 1.14 |
1.14 |
Pennsylvania | 64% | CN4212700000000 | |
Williamsport, PA MSA | 1.40 | 1.11 |
1.13 |
Pennsylvania | 7% | 48700 | |
York–Hanover, PA MSA | 1.61 | 1.11 |
1.11 |
Pennsylvania | 0% | 49620 | |
New Shoreham Town, RI | 1.44 | 1.00 |
1.00 |
Rhode Island | 93% | 50500 | |
Allendale County, SC | 1.41 | 1.03 |
1.03 |
South Carolina | 36% | CN4500500000000 | |
Bamberg County, SC | 1.44 | 1.12 |
1.16 |
South Carolina | 21% | CN4500900000000 | |
Barnwell County, SC | 1.55 | 0.78 |
0.89 |
South Carolina | 100% | CN4501100000000 | |
Bennettsville, SC μSA | 1.53 | 0.79 |
0.83 |
South Carolina | 100% | 13500 | |
Charleston–North Charleston, SC MSA | 1.67 | 1.05 |
1.05 |
South Carolina | 79% | 16700 | |
Chesterfield County, SC | 1.24 | 1.02 |
1.02 |
South Carolina | 93% | CN4502500000000 | |
Clarendon County, SC | 1.30 | 0.97 |
0.97 |
South Carolina | 100% | CN4502700000000 | |
Colleton County, SC | 1.21 | 0.97 |
0.97 |
South Carolina | 100% | CN4502900000000 | |
Columbia, SC MSA | 1.67 | 0.92 |
0.92 |
South Carolina | 100% | 17900 | |
Dillon County, SC | 1.25 | 0.83 |
0.83 |
South Carolina | 100% | CN4503300000000 | |
Florence, SC MSA | 1.36 | 0.98 |
0.98 |
South Carolina | 100% | 22500 | |
Gaffney, SC μSA | 1.26 | 1.08 |
1.08 |
South Carolina | 79% | 23500 | |
Georgetown, SC μSA | 1.44 | 1.18 |
1.18 |
South Carolina | 79% | 23860 | |
Greenville–Anderson–Mauldin, SC MSA | 2.18 | 0.95 |
0.95 |
South Carolina | 100% | 24860 | |
Greenwood, SC μSA | 1.33 | 0.89 |
0.89 |
South Carolina | 100% | 24940 | |
Hampton County, SC | 1.62 | 0.95 |
0.95 |
South Carolina | 100% | CN4504900000000 | |
Hilton Head Island–Bluffton–Beaufort, SC MSA | 1.50 | 0.80 |
0.80 |
South Carolina | 100% | 25940 | |
Lee County, SC | 1.54 | 1.07 |
1.11 |
South Carolina | 79% | CN4506100000000 | |
Marion County, SC | 1.28 | 0.63 |
0.75 |
South Carolina | 100% | CN4506700000000 | |
McCormick County, SC | 1.35 | 0.93 |
1.07 |
South Carolina | 64% | CN4506500000000 | |
Newberry, SC μSA | 1.33 | 0.93 |
0.93 |
South Carolina | 100% | 35140 | |
Orangeburg, SC μSA | 1.28 | 0.89 |
0.91 |
South Carolina | 100% | 36700 | |
Seneca, SC μSA | 1.38 | 1.00 |
1.00 |
South Carolina | 93% | 42860 | |
Spartanburg, SC MSA | 1.45 | 0.96 |
0.96 |
South Carolina | 100% | 43900 | |
Sumter, SC MSA | 1.57 | 0.96 |
0.96 |
South Carolina | 100% | 44940 | |
Williamsburg County, SC | 1.27 | 0.72 |
0.83 |
South Carolina | 100% | CN4508900000000 | |
Aberdeen, SD μSA | 1.37 | 1.24 |
1.24 |
South Dakota | 0% | 10100 | |
Aurora County, SD | 1.72 | 1.02 |
1.02 |
South Dakota | 36% | CN4600300000000 | |
Bennett County, SD | 1.34 | 1.22 |
1.22 |
South Dakota | 0% | CN4600700000000 | |
Bon Homme County, SD | 1.94 | 1.09 |
1.22 |
South Dakota | 0% | CN4600900000000 | |
Brookings, SD μSA | 1.89 | 1.35 |
1.35 |
South Dakota | 43% | 15100 | |
Brule County, SD | 1.30 | 1.02 |
1.10 |
South Dakota | 21% | CN4601500000000 | |
Buffalo County, SD | 1.20 | 1.04 |
1.04 |
South Dakota | 0% | CN4601700000000 | |
Butte County, SD | 1.57 | 1.19 |
1.31 |
South Dakota | 7% | CN4601900000000 | |
Campbell County, SD | 1.02 | 1.02 |
1.02 |
South Dakota | 0% | CN4602100000000 | |
Charles Mix County, SD | 1.48 | 1.05 |
1.05 |
South Dakota | 86% | CN4602300000000 | |
Clark County, SD | 1.47 | 1.03 |
1.10 |
South Dakota | 0% | CN4602500000000 | |
Corson County, SD | 1.54 | 0.99 |
0.99 |
South Dakota | 100% | CN4603100000000 | |
Day County, SD | 1.37 | 1.01 |
1.02 |
South Dakota | 50% | CN4603700000000 | |
Deuel County, SD | 1.21 | 1.02 |
1.21 |
South Dakota | 0% | CN4603900000000 | |
Dewey–Ziebach, SD LMA | 2.04 | 1.49 |
2.04 |
South Dakota | 0% | 80860 | |
Douglas County, SD | 1.36 | 1.02 |
1.03 |
South Dakota | 0% | CN4604300000000 | |
Fall River County, SD | 1.29 | 1.00 |
1.03 |
South Dakota | 93% | CN4604700000000 | |
Faulk County, SD | 1.59 | 1.03 |
1.05 |
South Dakota | 0% | CN4604900000000 | |
Grant County, SD | 1.71 | 0.83 |
0.83 |
South Dakota | 100% | CN4605100000000 | |
Gregory County, SD | 1.36 | 1.32 |
1.32 |
South Dakota | 29% | CN4605300000000 | |
Haakon County, SD | 1.04 | 1.03 |
1.04 |
South Dakota | 0% | CN4605500000000 | |
Hamlin County, SD | 1.59 | 0.99 |
1.16 |
South Dakota | 43% | CN4605700000000 | |
Hand County, SD | 1.37 | 1.03 |
1.03 |
South Dakota | 0% | CN4605900000000 | |
Harding County, SD | 0.98 | 0.98 |
0.98 |
South Dakota | 36% | CN4606300000000 | |
Huron, SD μSA | 2.27 | 1.01 |
1.39 |
South Dakota | 0% | 26700 | |
Hutchinson County, SD | 1.62 | 1.07 |
1.14 |
South Dakota | 21% | CN4606700000000 | |
Hyde County, SD | 1.42 | 1.24 |
1.42 |
South Dakota | 0% | CN4606900000000 | |
Jackson County, SD | 1.10 | 1.06 |
1.10 |
South Dakota | 0% | CN4607100000000 | |
Jerauld County, SD | 1.30 | 1.03 |
1.03 |
South Dakota | 0% | CN4607300000000 | |
Jones County, SD | 1.02 | 1.02 |
1.02 |
South Dakota | 0% | CN4607500000000 | |
Kingsbury County, SD | 1.85 | 1.01 |
1.10 |
South Dakota | 7% | CN4607700000000 | |
Lake County, SD | 1.40 | 1.10 |
1.14 |
South Dakota | 43% | CN4607900000000 | |
Lyman County, SD | 1.79 | 1.02 |
1.06 |
South Dakota | 0% | CN4608500000000 | |
Marshall County, SD | 1.02 | 1.02 |
1.02 |
South Dakota | 7% | CN4609100000000 | |
McPherson County, SD | 1.05 | 1.05 |
1.05 |
South Dakota | 0% | CN4608900000000 | |
Mellette County, SD | 1.00 | 1.00 |
1.00 |
South Dakota | 29% | CN4609500000000 | |
Miner County, SD | 1.62 | 0.98 |
1.02 |
South Dakota | 93% | CN4609700000000 | |
Mitchell, SD μSA | 1.62 | 1.20 |
1.28 |
South Dakota | 0% | 33580 | |
Moody County, SD | 1.23 | 1.23 |
1.23 |
South Dakota | 21% | CN4610100000000 | |
Oglala Lakota County, SD | 1.56 | 0.83 |
1.13 |
South Dakota | 57% | CN4610200000000 | |
Perkins County, SD | 1.50 | 1.00 |
1.02 |
South Dakota | 50% | CN4610500000000 | |
Pierre, SD μSA | 1.90 | 1.27 |
1.34 |
South Dakota | 0% | 38180 | |
Potter County, SD | 1.52 | 1.04 |
1.12 |
South Dakota | 0% | CN4610700000000 | |
Rapid City, SD MSA | 1.39 | 1.10 |
1.12 |
South Dakota | 14% | 39660 | |
Roberts County, SD | 1.45 | 1.33 |
1.43 |
South Dakota | 0% | CN4610900000000 | |
Sanborn County, SD | 1.30 | 1.06 |
1.06 |
South Dakota | 0% | CN4611100000000 | |
Sioux Falls, SD MSA | 1.62 | 1.06 |
1.06 |
South Dakota | 64% | 43620 | |
Spearfish, SD μSA | 1.69 | 1.19 |
1.19 |
South Dakota | 50% | 43940 | |
Spink County, SD | 1.33 | 1.02 |
1.10 |
South Dakota | 71% | CN4611500000000 | |
Todd County, SD | 1.61 | 1.05 |
1.29 |
South Dakota | 0% | CN4612100000000 | |
Tripp County, SD | 1.89 | 1.10 |
1.15 |
South Dakota | 0% | CN4612300000000 | |
Vermillion, SD μSA | 2.17 | 1.29 |
1.41 |
South Dakota | 0% | 46820 | |
Walworth County, SD | 1.35 | 0.98 |
1.02 |
South Dakota | 64% | CN4612900000000 | |
Watertown, SD μSA | 1.56 | 0.94 |
1.27 |
South Dakota | 14% | 47980 | |
Yankton, SD μSA | 1.55 | 1.13 |
1.18 |
South Dakota | 0% | 49460 | |
Athens, TN μSA | 1.53 | 1.05 |
1.13 |
Tennessee | 0% | 11940 | |
Benton County, TN | 1.62 | 1.04 |
1.06 |
Tennessee | 86% | CN4700500000000 | |
Bledsoe County, TN | 3.39 | 0.89 |
0.90 |
Tennessee | 100% | CN4700700000000 | |
Brownsville, TN μSA | 1.37 | 0.98 |
1.02 |
Tennessee | 79% | 15140 | |
Carroll County, TN | 1.31 | 1.11 |
1.13 |
Tennessee | 57% | CN4701700000000 | |
Claiborne County, TN | 1.24 | 1.24 |
1.24 |
Tennessee | 43% | CN4702500000000 | |
Clay County, TN | 1.58 | 1.08 |
1.12 |
Tennessee | 14% | CN4702700000000 | |
Cleveland, TN MSA | 1.32 | 1.03 |
1.06 |
Tennessee | 21% | 17420 | |
Cookeville, TN μSA | 1.71 | 1.08 |
1.08 |
Tennessee | 57% | 18260 | |
Crossville, TN μSA | 1.30 | 1.15 |
1.15 |
Tennessee | 57% | 18900 | |
Dayton, TN μSA | 2.65 | 1.29 |
1.29 |
Tennessee | 71% | 19420 | |
Decatur County, TN | 1.48 | 1.25 |
1.28 |
Tennessee | 36% | CN4703900000000 | |
DeKalb County, TN | 1.56 | 1.52 |
1.52 |
Tennessee | 50% | CN4704100000000 | |
Dyersburg, TN μSA | 1.33 | 1.13 |
1.13 |
Tennessee | 71% | 20540 | |
Fentress County, TN | 1.87 | 1.44 |
1.44 |
Tennessee | 21% | CN4704900000000 | |
Gibson County, TN | 1.26 | 1.03 |
1.04 |
Tennessee | 86% | CN4705300000000 | |
Giles County, TN | 1.30 | 1.07 |
1.09 |
Tennessee | 71% | CN4705500000000 | |
Greeneville, TN μSA | 1.28 | 0.97 |
0.97 |
Tennessee | 100% | 24620 | |
Grundy County, TN | 1.76 | 1.13 |
1.19 |
Tennessee | 14% | CN4706100000000 | |
Hancock County, TN | 1.51 | 0.96 |
0.96 |
Tennessee | 100% | CN4706700000000 | |
Hardeman County, TN | 2.40 | 1.03 |
1.07 |
Tennessee | 57% | CN4706900000000 | |
Hardin County, TN | 1.65 | 0.92 |
0.93 |
Tennessee | 100% | CN4707100000000 | |
Henderson County, TN | 1.36 | 0.96 |
0.97 |
Tennessee | 100% | CN4707700000000 | |
Houston County, TN | 1.42 | 1.09 |
1.21 |
Tennessee | 7% | CN4708300000000 | |
Humphreys County, TN | 1.64 | 1.05 |
1.05 |
Tennessee | 71% | CN4708500000000 | |
Jackson, TN MSA | 1.32 | 0.96 |
0.97 |
Tennessee | 100% | 27180 | |
Johnson City, TN MSA | 1.31 | 1.04 |
1.05 |
Tennessee | 64% | 27740 | |
Johnson County, TN | 2.20 | 1.21 |
1.28 |
Tennessee | 50% | CN4709100000000 | |
Kingsport–Bristol–Bristol, TN–VA MSA | 1.38 | 0.94 |
0.98 |
Tennessee,Virginia | 100% | 28700 | |
Knoxville, TN MSA | 1.53 | 1.04 |
1.04 |
Tennessee | 71% | 28940 | |
Lauderdale County, TN | 1.59 | 0.93 |
0.93 |
Tennessee | 100% | CN4709700000000 | |
Lawrenceburg, TN μSA | 1.31 | 0.59 |
0.87 |
Tennessee | 100% | 29980 | |
Lewis County, TN | 1.55 | 1.11 |
1.18 |
Tennessee | 0% | CN4710100000000 | |
Lewisburg, TN μSA | 1.84 | 1.32 |
1.32 |
Tennessee | 57% | 30280 | |
Lincoln County, TN | 1.63 | 1.16 |
1.16 |
Tennessee | 64% | CN4710300000000 | |
Martin, TN μSA | 1.68 | 0.86 |
0.89 |
Tennessee | 100% | 32280 | |
McMinnville, TN μSA | 1.28 | 1.09 |
1.09 |
Tennessee | 71% | 32660 | |
McNairy County, TN | 1.52 | 0.98 |
1.01 |
Tennessee | 86% | CN4710900000000 | |
Meigs County, TN | 1.37 | 1.08 |
1.12 |
Tennessee | 29% | CN4712100000000 | |
Monroe County, TN | 1.33 | 1.21 |
1.21 |
Tennessee | 57% | CN4712300000000 | |
Morristown, TN MSA | 1.39 | 1.08 |
1.08 |
Tennessee | 57% | 34100 | |
Nashville–Davidson—Murfreesboro—Franklin, TN MSA | 2.14 | 1.12 |
1.12 |
Tennessee | 50% | 34980 | |
Newport, TN μSA | 1.34 | 1.11 |
1.11 |
Tennessee | 71% | 35460 | |
Paris, TN μSA | 2.06 | 0.93 |
0.93 |
Tennessee | 100% | 37540 | |
Perry County, TN | 1.93 | 0.99 |
1.06 |
Tennessee | 36% | CN4713500000000 | |
Pickett County, TN | 1.44 | 1.15 |
1.15 |
Tennessee | 29% | CN4713700000000 | |
Scott County, TN | 1.87 | 1.15 |
1.19 |
Tennessee | 0% | CN4715100000000 | |
Sevierville, TN μSA | 1.47 | 1.02 |
1.03 |
Tennessee | 21% | 42940 | |
Shelbyville, TN μSA | 1.55 | 1.14 |
1.14 |
Tennessee | 0% | 43180 | |
Stewart County, TN | 1.62 | 1.06 |
1.06 |
Tennessee | 43% | CN4716100000000 | |
Tullahoma–Manchester, TN μSA | 1.30 | 0.88 |
0.98 |
Tennessee | 100% | 46100 | |
Van Buren County, TN | 1.88 | 1.19 |
1.19 |
Tennessee | 0% | CN4717500000000 | |
Wayne County, TN | 3.22 | 1.08 |
1.08 |
Tennessee | 79% | CN4718100000000 | |
White County, TN | 1.97 | 1.06 |
1.06 |
Tennessee | 86% | CN4718500000000 | |
Abilene, TX MSA | 1.53 | 0.96 |
1.01 |
Texas | 79% | 10180 | |
Alice, TX μSA | 1.50 | 0.71 |
1.05 |
Texas | 79% | 10860 | |
Amarillo, TX MSA | 1.47 | 1.09 |
1.10 |
Texas | 0% | 11100 | |
Andrews, TX μSA | 1.96 | 1.96 |
1.96 |
Texas | 21% | 11380 | |
Athens, TX μSA | 1.33 | 1.24 |
1.24 |
Texas | 71% | 11980 | |
Austin–Round Rock, TX MSA | 2.46 | 1.02 |
1.02 |
Texas | 86% | 12420 | |
Bailey County, TX | 1.64 | 1.02 |
1.11 |
Texas | 0% | CN4801700000000 | |
Bay City, TX μSA | 1.30 | 0.87 |
1.00 |
Texas | 93% | 13060 | |
Baylor County, TX | 2.29 | 1.00 |
1.05 |
Texas | 21% | CN4802300000000 | |
Beaumont–Port Arthur, TX MSA | 1.49 | 0.89 |
0.90 |
Texas | 100% | 13140 | |
Beeville, TX μSA | 1.41 | 1.14 |
1.14 |
Texas | 50% | 13300 | |
Big Spring, TX μSA | 1.36 | 0.92 |
1.03 |
Texas | 79% | 13700 | |
Blanco County, TX | 2.37 | 0.98 |
0.98 |
Texas | 100% | CN4803100000000 | |
Bonham, TX μSA | 1.28 | 0.72 |
0.91 |
Texas | 100% | 14300 | |
Borger, TX μSA | 2.16 | 1.09 |
1.15 |
Texas | 21% | 14420 | |
Bosque County, TX | 2.02 | 1.04 |
1.04 |
Texas | 79% | CN4803500000000 | |
Brenham, TX μSA | 1.75 | 0.95 |
1.10 |
Texas | 86% | 14780 | |
Brewster County, TX | 1.82 | 0.90 |
1.09 |
Texas | 79% | CN4804300000000 | |
Briscoe County, TX | 1.05 | 1.05 |
1.05 |
Texas | 0% | CN4804500000000 | |
Brooks County, TX | 1.39 | 1.11 |
1.13 |
Texas | 14% | CN4804700000000 | |
Brownsville–Harlingen, TX MSA | 1.67 | 0.93 |
1.10 |
Texas | 71% | 15180 | |
Brownwood, TX μSA | 1.64 | 1.64 |
1.64 |
Texas | 21% | 15220 | |
Burnet County, TX | 1.61 | 1.23 |
1.23 |
Texas | 71% | CN4805300000000 | |
Camp County, TX | 1.77 | 0.96 |
1.06 |
Texas | 50% | CN4806300000000 | |
Cass County, TX | 1.49 | 0.50 |
1.01 |
Texas | 93% | CN4806700000000 | |
Castro County, TX | 1.67 | 1.29 |
1.31 |
Texas | 0% | CN4806900000000 | |
Childress County, TX | 2.55 | 1.58 |
1.58 |
Texas | 0% | CN4807500000000 | |
Cochran County, TX | 1.08 | 1.07 |
1.08 |
Texas | 0% | CN4807900000000 | |
Coke County, TX | 1.37 | 1.09 |
1.09 |
Texas | 36% | CN4808100000000 | |
Coleman County, TX | 1.58 | 1.40 |
1.47 |
Texas | 0% | CN4808300000000 | |
College Station–Bryan, TX MSA | 1.41 | 0.81 |
0.81 |
Texas | 100% | 17780 | |
Collingsworth County, TX | 2.06 | 1.07 |
1.07 |
Texas | 7% | CN4808700000000 | |
Colorado County, TX | 1.62 | 1.01 |
1.11 |
Texas | 50% | CN4808900000000 | |
Comanche County, TX | 1.77 | 1.35 |
1.39 |
Texas | 0% | CN4809300000000 | |
Concho County, TX | 2.01 | 1.08 |
1.08 |
Texas | 0% | CN4809500000000 | |
Corpus Christi, TX MSA | 1.95 | 1.11 |
1.11 |
Texas | 71% | 18580 | |
Corsicana, TX μSA | 1.52 | 0.79 |
0.99 |
Texas | 100% | 18620 | |
Cottle County, TX | 1.04 | 1.04 |
1.04 |
Texas | 0% | CN4810100000000 | |
Crane County, TX | 2.34 | 1.02 |
1.03 |
Texas | 57% | CN4810300000000 | |
Crockett County, TX | 1.87 | 1.04 |
1.04 |
Texas | 29% | CN4810500000000 | |
Culberson County, TX | 1.30 | 1.06 |
1.07 |
Texas | 0% | CN4810900000000 | |
Dallam–Hartley, TX LMA | 2.42 | 0.97 |
1.10 |
Texas | 29% | 80780 | |
Dallas–Fort Worth–Arlington, TX MSA | 2.15 | 0.96 |
0.96 |
Texas | 100% | 19100 | |
Del Rio, TX μSA | 1.53 | 0.86 |
0.96 |
Texas | 100% | 19620 | |
Delta County, TX | 1.01 | 1.01 |
1.01 |
Texas | 21% | CN4811900000000 | |
DeWitt County, TX | 2.77 | 1.00 |
1.00 |
Texas | 100% | CN4812300000000 | |
Dickens County, TX | 1.10 | 1.08 |
1.10 |
Texas | 0% | CN4812500000000 | |
Dimmit County, TX | 1.89 | 0.89 |
1.07 |
Texas | 71% | CN4812700000000 | |
Donley County, TX | 1.55 | 1.04 |
1.05 |
Texas | 21% | CN4812900000000 | |
Dumas, TX μSA | 2.23 | 0.94 |
1.43 |
Texas | 43% | 20300 | |
Duval County, TX | 1.90 | 1.05 |
1.07 |
Texas | 57% | CN4813100000000 | |
Eagle Pass, TX μSA | 1.90 | 0.88 |
1.24 |
Texas | 50% | 20580 | |
Eastland County, TX | 1.63 | 0.91 |
1.11 |
Texas | 21% | CN4813300000000 | |
Edwards County, TX | 1.05 | 1.05 |
1.05 |
Texas | 0% | CN4813700000000 | |
El Campo, TX μSA | 1.41 | 0.79 |
0.99 |
Texas | 100% | 20900 | |
El Paso, TX MSA | 1.48 | 1.20 |
1.30 |
Texas | 0% | 21340 | |
Fayette County, TX | 1.85 | 1.26 |
1.26 |
Texas | 14% | CN4814900000000 | |
Fisher County, TX | 1.08 | 0.93 |
1.08 |
Texas | 21% | CN4815100000000 | |
Floyd County, TX | 2.11 | 0.95 |
1.08 |
Texas | 50% | CN4815300000000 | |
Foard County, TX | 1.04 | 1.04 |
1.04 |
Texas | 0% | CN4815500000000 | |
Franklin County, TX | 1.85 | 1.06 |
1.18 |
Texas | 36% | CN4815900000000 | |
Fredericksburg, TX μSA | 2.11 | 0.89 |
0.89 |
Texas | 100% | 23240 | |
Freestone County, TX | 2.77 | 0.94 |
1.10 |
Texas | 43% | CN4816100000000 | |
Gaines County, TX | 1.37 | 0.82 |
1.00 |
Texas | 93% | CN4816500000000 | |
Gainesville, TX μSA | 1.27 | 1.04 |
1.04 |
Texas | 86% | 23620 | |
Garza County, TX | 1.99 | 0.96 |
1.17 |
Texas | 43% | CN4816900000000 | |
Gonzales County, TX | 2.43 | 0.91 |
1.02 |
Texas | 93% | CN4817700000000 | |
Grimes County, TX | 1.67 | 1.21 |
1.23 |
Texas | 14% | CN4818500000000 | |
Hall County, TX | 1.52 | 1.06 |
1.06 |
Texas | 0% | CN4819100000000 | |
Hamilton County, TX | 1.49 | 0.96 |
1.04 |
Texas | 79% | CN4819300000000 | |
Hansford County, TX | 1.81 | 1.06 |
1.16 |
Texas | 7% | CN4819500000000 | |
Hardeman County, TX | 1.38 | 1.07 |
1.07 |
Texas | 0% | CN4819700000000 | |
Haskell County, TX | 1.47 | 0.95 |
1.43 |
Texas | 43% | CN4820700000000 | |
Hemphill County, TX | 1.53 | 1.01 |
1.13 |
Texas | 0% | CN4821100000000 | |
Hereford, TX μSA | 1.90 | 1.24 |
1.25 |
Texas | 21% | 25820 | |
Hill County, TX | 1.72 | 0.87 |
0.96 |
Texas | 100% | CN4821700000000 | |
Houston County, TX | 2.22 | 0.98 |
1.00 |
Texas | 100% | CN4822500000000 | |
Houston–The Woodlands–Sugar Land, TX MSA | 2.04 | 0.97 |
0.97 |
Texas | 100% | 26420 | |
Huntsville, TX μSA | 1.41 | 1.11 |
1.12 |
Texas | 64% | 26660 | |
Jack County, TX | 1.42 | 0.86 |
1.42 |
Texas | 29% | CN4823700000000 | |
Jackson County, TX | 1.83 | 0.95 |
1.01 |
Texas | 93% | CN4823900000000 | |
Jacksonville, TX μSA | 1.60 | 0.94 |
0.94 |
Texas | 100% | 27380 | |
Jasper County, TX | 1.72 | 1.44 |
1.44 |
Texas | 21% | CN4824100000000 | |
Jeff Davis County, TX | 1.05 | 1.05 |
1.05 |
Texas | 0% | CN4824300000000 | |
Jim Hogg County, TX | 1.68 | 1.20 |
1.20 |
Texas | 0% | CN4824700000000 | |
Karnes County, TX | 2.25 | 0.68 |
0.85 |
Texas | 100% | CN4825500000000 | |
Kent County, TX | 1.03 | 1.03 |
1.03 |
Texas | 0% | CN4826300000000 | |
Kerrville, TX μSA | 1.59 | 1.11 |
1.12 |
Texas | 64% | 28500 | |
Killeen–Temple, TX MSA | 1.85 | 0.68 |
1.07 |
Texas | 86% | 28660 | |
Kimble County, TX | 1.45 | 1.04 |
1.04 |
Texas | 29% | CN4826700000000 | |
Kingsville, TX μSA | 1.33 | 0.96 |
1.05 |
Texas | 36% | 28780 | |
Kinney County, TX | 1.77 | 1.05 |
1.05 |
Texas | 43% | CN4827100000000 | |
Knox County, TX | 0.85 | 0.85 |
0.85 |
Texas | 36% | CN4827500000000 | |
La Salle County, TX | 2.58 | 1.09 |
1.32 |
Texas | 0% | CN4828300000000 | |
Lamb County, TX | 2.24 | 1.31 |
1.39 |
Texas | 0% | CN4827900000000 | |
Lamesa, TX μSA | 1.49 | 0.90 |
1.11 |
Texas | 79% | 29500 | |
Laredo, TX MSA | 1.61 | 1.12 |
1.12 |
Texas | 64% | 29700 | |
Lavaca County, TX | 2.45 | 0.98 |
1.08 |
Texas | 43% | CN4828500000000 | |
Lee County, TX | 2.40 | 1.12 |
1.17 |
Texas | 43% | CN4828700000000 | |
Leon County, TX | 2.31 | 1.07 |
1.07 |
Texas | 71% | CN4828900000000 | |
Levelland, TX μSA | 1.59 | 1.04 |
1.15 |
Texas | 50% | 30220 | |
Limestone County, TX | 1.59 | 1.14 |
1.16 |
Texas | 50% | CN4829300000000 | |
Lipscomb County, TX | 1.06 | 1.06 |
1.06 |
Texas | 0% | CN4829500000000 | |
Live Oak County, TX | 1.74 | 1.03 |
1.03 |
Texas | 79% | CN4829700000000 | |
Llano County, TX | 1.79 | 1.02 |
1.08 |
Texas | 0% | CN4829900000000 | |
Longview, TX MSA | 1.47 | 0.96 |
0.96 |
Texas | 100% | 30980 | |
Lubbock, TX MSA | 1.88 | 1.11 |
1.11 |
Texas | 14% | 31180 | |
Lufkin, TX μSA | 1.51 | 1.12 |
1.12 |
Texas | 86% | 31260 | |
Madison County, TX | 2.67 | 0.89 |
1.25 |
Texas | 50% | CN4831300000000 | |
Marion County, TX | 1.73 | 1.01 |
1.01 |
Texas | 86% | CN4831500000000 | |
Marshall, TX μSA | 1.64 | 0.98 |
1.03 |
Texas | 93% | 32220 | |
Mason County, TX | 1.51 | 0.95 |
1.03 |
Texas | 93% | CN4831900000000 | |
McAllen–Edinburg–Mission, TX MSA | 1.91 | 1.10 |
1.10 |
Texas | 0% | 32580 | |
McCulloch County, TX | 1.62 | 1.04 |
1.18 |
Texas | 21% | CN4830700000000 | |
McMullen County, TX | 1.03 | 1.03 |
1.03 |
Texas | 0% | CN4831100000000 | |
Menard County, TX | 1.05 | 1.05 |
1.05 |
Texas | 0% | CN4832700000000 | |
Midland, TX MSA | 1.95 | 1.15 |
1.15 |
Texas | 71% | 33260 | |
Milam County, TX | 1.81 | 1.36 |
1.36 |
Texas | 0% | CN4833100000000 | |
Mills County, TX | 1.60 | 1.02 |
1.02 |
Texas | 86% | CN4833300000000 | |
Mineral Wells, TX μSA | 1.20 | 1.15 |
1.15 |
Texas | 0% | 33420 | |
Mitchell County, TX | 1.48 | 1.06 |
1.31 |
Texas | 0% | CN4833500000000 | |
Montague County, TX | 1.31 | 0.78 |
0.97 |
Texas | 100% | CN4833700000000 | |
Morris County, TX | 1.71 | 0.88 |
1.01 |
Texas | 93% | CN4834300000000 | |
Motley County, TX | 1.11 | 1.10 |
1.11 |
Texas | 0% | CN4834500000000 | |
Mount Pleasant, TX μSA | 1.66 | 0.91 |
0.96 |
Texas | 100% | 34420 | |
Nacogdoches, TX μSA | 1.68 | 0.98 |
1.01 |
Texas | 93% | 34860 | |
Ochiltree County, TX | 1.82 | 1.25 |
1.25 |
Texas | 0% | CN4835700000000 | |
Odessa, TX MSA | 1.45 | 0.95 |
0.99 |
Texas | 100% | 36220 | |
Palestine, TX μSA | 1.94 | 1.19 |
1.19 |
Texas | 14% | 37300 | |
Pampa, TX μSA | 2.42 | 1.01 |
1.10 |
Texas | 7% | 37420 | |
Panola County, TX | 1.55 | 0.80 |
0.87 |
Texas | 100% | CN4836500000000 | |
Paris, TX μSA | 1.59 | 1.24 |
1.24 |
Texas | 43% | 37580 | |
Parmer County, TX | 1.77 | 1.35 |
1.38 |
Texas | 0% | CN4836900000000 | |
Pearsall, TX μSA | 2.35 | 0.86 |
0.86 |
Texas | 100% | 37770 | |
Pecos County, TX | 1.98 | 0.68 |
1.45 |
Texas | 36% | CN4837100000000 | |
Pecos, TX μSA | 2.28 | 0.89 |
1.15 |
Texas | 71% | 37780 | |
Plainview, TX μSA | 1.41 | 1.05 |
1.18 |
Texas | 21% | 38380 | |
Polk County, TX | 1.61 | 1.31 |
1.33 |
Texas | 64% | CN4837300000000 | |
Port Lavaca, TX μSA | 2.25 | 0.82 |
0.82 |
Texas | 100% | 38920 | |
Presidio County, TX | 1.66 | 1.11 |
1.11 |
Texas | 0% | CN4837700000000 | |
Rains County, TX | 1.97 | 1.02 |
1.02 |
Texas | 93% | CN4837900000000 | |
Raymondville, TX μSA | 1.69 | 0.73 |
1.32 |
Texas | 71% | 39700 | |
Reagan County, TX | 1.79 | 0.92 |
1.12 |
Texas | 79% | CN4838300000000 | |
Real County, TX | 1.95 | 0.95 |
0.95 |
Texas | 100% | CN4838500000000 | |
Red River County, TX | 1.86 | 0.78 |
1.14 |
Texas | 71% | CN4838700000000 | |
Refugio County, TX | 1.58 | 1.01 |
1.06 |
Texas | 7% | CN4839100000000 | |
Rio Grande City, TX μSA | 1.44 | 1.05 |
1.06 |
Texas | 71% | 40100 | |
Runnels County, TX | 1.87 | 1.03 |
1.34 |
Texas | 0% | CN4839900000000 | |
Sabine County, TX | 2.23 | 0.99 |
0.99 |
Texas | 100% | CN4840300000000 | |
San Angelo, TX MSA | 1.36 | 1.06 |
1.06 |
Texas | 86% | 41660 | |
San Antonio–New Braunfels, TX MSA | 1.79 | 1.11 |
1.11 |
Texas | 64% | 41700 | |
San Augustine County, TX | 1.79 | 0.94 |
0.94 |
Texas | 100% | CN4840500000000 | |
San Jacinto County, TX | 1.76 | 1.36 |
1.36 |
Texas | 0% | CN4840700000000 | |
San Saba County, TX | 2.06 | 0.80 |
1.13 |
Texas | 86% | CN4841100000000 | |
Schleicher County, TX | 1.43 | 1.07 |
1.07 |
Texas | 0% | CN4841300000000 | |
Shackelford County, TX | 1.25 | 1.25 |
1.25 |
Texas | 0% | CN4841700000000 | |
Shelby County, TX | 1.51 | 0.74 |
1.04 |
Texas | 93% | CN4841900000000 | |
Sherman County, TX | 1.06 | 1.06 |
1.06 |
Texas | 0% | CN4842100000000 | |
Sherman–Denison, TX MSA | 1.63 | 0.94 |
0.96 |
Texas | 100% | 43300 | |
Snyder, TX μSA | 2.52 | 1.01 |
1.07 |
Texas | 43% | 43660 | |
Stephens County, TX | 2.02 | 1.00 |
1.08 |
Texas | 14% | CN4842900000000 | |
Stephenville, TX μSA | 1.40 | 1.15 |
1.15 |
Texas | 57% | 44500 | |
Sterling County, TX | 1.04 | 1.04 |
1.04 |
Texas | 0% | CN4843100000000 | |
Stonewall County, TX | 1.03 | 1.03 |
1.03 |
Texas | 0% | CN4843300000000 | |
Sulphur Springs, TX μSA | 1.50 | 1.08 |
1.12 |
Texas | 0% | 44860 | |
Sutton County, TX | 1.47 | 1.08 |
1.08 |
Texas | 0% | CN4843500000000 | |
Sweetwater, TX μSA | 1.36 | 1.19 |
1.19 |
Texas | 57% | 45020 | |
Swisher County, TX | 1.99 | 0.85 |
0.85 |
Texas | 100% | CN4843700000000 | |
Terrell County, TX | 1.91 | 1.04 |
1.04 |
Texas | 0% | CN4844300000000 | |
Terry County, TX | 1.76 | 0.91 |
1.04 |
Texas | 71% | CN4844500000000 | |
Throckmorton County, TX | 1.19 | 1.19 |
1.19 |
Texas | 0% | CN4844700000000 | |
Tyler County, TX | 2.09 | 1.13 |
1.18 |
Texas | 21% | CN4845700000000 | |
Tyler, TX MSA | 1.57 | 1.11 |
1.11 |
Texas | 79% | 46340 | |
Upton County, TX | 1.79 | 1.03 |
1.03 |
Texas | 79% | CN4846100000000 | |
Uvalde, TX μSA | 1.35 | 0.71 |
0.94 |
Texas | 100% | 46620 | |
Van Zandt County, TX | 1.43 | 1.20 |
1.20 |
Texas | 64% | CN4846700000000 | |
Vernon, TX μSA | 1.72 | 0.77 |
1.07 |
Texas | 79% | 46900 | |
Victoria, TX MSA | 1.43 | 1.00 |
1.03 |
Texas | 86% | 47020 | |
Waco, TX MSA | 1.49 | 1.04 |
1.04 |
Texas | 79% | 47380 | |
Ward County, TX | 2.04 | 0.93 |
1.16 |
Texas | 79% | CN4847500000000 | |
Wheeler County, TX | 1.64 | 1.06 |
1.08 |
Texas | 21% | CN4848300000000 | |
Wichita Falls, TX MSA | 1.47 | 1.10 |
1.10 |
Texas | 64% | 48660 | |
Winkler–Loving, TX LMA | 1.72 | 1.19 |
1.19 |
Texas | 0% | 82900 | |
Wood County, TX | 1.37 | 1.22 |
1.22 |
Texas | 71% | CN4849900000000 | |
Yoakum County, TX | 1.81 | 0.96 |
0.97 |
Texas | 100% | CN4850100000000 | |
Young County, TX | 1.39 | 1.24 |
1.24 |
Texas | 0% | CN4850300000000 | |
Zapata, TX μSA | 1.49 | 0.99 |
1.02 |
Texas | 79% | 49820 | |
Zavala County, TX | 1.66 | 1.05 |
1.06 |
Texas | 36% | CN4850700000000 | |
Heber, UT μSA | 1.48 | 1.03 |
1.11 |
Utah | 0% | 25720 | |
Ogden–Clearfield, UT MSA | 1.39 | 1.10 |
1.10 |
Utah | 14% | 36260 | |
Provo–Orem, UT MSA | 1.77 | 1.09 |
1.09 |
Utah | 21% | 39340 | |
Salt Lake City, UT MSA | 1.67 | 1.13 |
1.13 |
Utah | 0% | 41620 | |
San Juan County, UT | 1.62 | 1.32 |
1.32 |
Utah | 0% | CN4903700000000 | |
Summit Park, UT μSA | 2.66 | 1.16 |
1.16 |
Utah | 57% | 44920 | |
Barre, VT μNECTA | 2.11 | 0.89 |
1.05 |
Vermont | 86% | 71050 | |
Bennington, VT μNECTA | 1.41 | 1.13 |
1.18 |
Vermont | 0% | 71350 | |
Burlington–South Burlington, VT MNECTA | 1.86 | 0.87 |
1.06 |
Vermont | 79% | 72400 | |
Derby, VT LMA | 1.59 | 0.91 |
1.11 |
Vermont | 57% | 80820 | |
Highgate, VT LMA | 1.59 | 0.89 |
1.14 |
Vermont | 71% | 81340 | |
Manchester, VT LMA | 1.29 | 1.01 |
1.01 |
Vermont | 79% | 81740 | |
Middlebury, VT LMA | 1.87 | 0.90 |
0.91 |
Vermont | 100% | 81820 | |
Morristown–Waterbury, VT LMA | 1.96 | 0.87 |
1.09 |
Vermont | 71% | 81900 | |
Newbury, VT LMA | 1.82 | 1.07 |
1.11 |
Vermont | 0% | 82020 | |
Northfield–Waitsfield, VT LMA | 2.12 | 0.78 |
1.00 |
Vermont | 100% | 82060 | |
Randolph, VT LMA | 1.96 | 0.92 |
0.99 |
Vermont | 100% | 82420 | |
Rutland, VT μNECTA | 1.74 | 0.83 |
0.87 |
Vermont | 100% | 77650 | |
St. Johnsbury, VT LMA | 1.97 | 0.84 |
1.02 |
Vermont | 93% | 82660 | |
Springfield, VT LMA | 1.73 | 0.92 |
0.93 |
Vermont | 100% | 82780 | |
Woodstock, VT LMA | 1.72 | 0.91 |
0.93 |
Vermont | 100% | 82980 | |
Accomack County, VA | 2.27 | 1.11 |
1.11 |
Virginia | 71% | CN5100100000000 | |
Alleghany–Covington, VA LMA | 1.72 | 0.98 |
0.98 |
Virginia | 100% | 80180 | |
Bath County, VA | 1.35 | 1.09 |
1.20 |
Virginia | 0% | CN5101700000000 | |
Big Stone Gap, VA μSA | 1.35 | 0.98 |
0.98 |
Virginia | 100% | 13720 | |
Blacksburg–Christiansburg–Radford, VA MSA | 1.37 | 1.02 |
1.02 |
Virginia | 86% | 13980 | |
Bland County, VA | 1.65 | 1.04 |
1.07 |
Virginia | 36% | CN5102100000000 | |
Bluefield, WV–VA μSA | 1.35 | 0.94 |
0.94 |
Virginia,West Virginia | 100% | 14140 | |
Brunswick County, VA | 1.40 | 0.99 |
1.04 |
Virginia | 64% | CN5102500000000 | |
Buchanan County, VA | 1.41 | 1.09 |
1.09 |
Virginia | 50% | CN5102700000000 | |
Carroll–Grayson–Galax, VA LMA | 1.40 | 0.91 |
1.05 |
Virginia | 79% | 80580 | |
Charlotte County, VA | 1.70 | 0.96 |
1.04 |
Virginia | 86% | CN5103700000000 | |
Charlottesville, VA MSA | 1.53 | 1.00 |
1.01 |
Virginia | 71% | 16820 | |
Danville, VA μSA | 1.26 | 0.92 |
0.94 |
Virginia | 100% | 19260 | |
Essex County, VA | 1.40 | 0.84 |
0.95 |
Virginia | 100% | CN5105700000000 | |
Greensville–Emporia, VA LMA | 2.04 | 0.90 |
0.95 |
Virginia | 100% | 81180 | |
Halifax County, VA | 1.20 | 0.93 |
0.97 |
Virginia | 100% | CN5108300000000 | |
Harrisonburg, VA MSA | 1.48 | 0.97 |
0.98 |
Virginia | 100% | 25500 | |
Highland County, VA | 1.02 | 1.00 |
1.02 |
Virginia | 0% | CN5109100000000 | |
King and Queen County, VA | 1.00 | 0.94 |
1.00 |
Virginia | 29% | CN5109700000000 | |
King George County, VA | 1.48 | 1.00 |
1.00 |
Virginia | 100% | CN5109900000000 | |
Lancaster County, VA | 1.51 | 0.96 |
0.97 |
Virginia | 100% | CN5110300000000 | |
Lee County, VA | 1.42 | 0.78 |
0.94 |
Virginia | 100% | CN5110500000000 | |
Louisa County, VA | 1.57 | 0.90 |
0.92 |
Virginia | 100% | CN5110900000000 | |
Lunenburg County, VA | 1.62 | 1.16 |
1.21 |
Virginia | 0% | CN5111100000000 | |
Lynchburg, VA MSA | 1.47 | 0.95 |
0.95 |
Virginia | 100% | 31340 | |
Madison County, VA | 1.36 | 0.85 |
0.89 |
Virginia | 100% | CN5111300000000 | |
Martinsville, VA μSA | 1.38 | 1.19 |
1.19 |
Virginia | 0% | 32300 | |
Mecklenburg County, VA | 1.84 | 0.92 |
0.94 |
Virginia | 100% | CN5111700000000 | |
Middlesex County, VA | 1.38 | 0.98 |
0.98 |
Virginia | 100% | CN5111900000000 | |
Northampton County, VA | 2.13 | 0.82 |
0.90 |
Virginia | 100% | CN5113100000000 | |
Northumberland County, VA | 1.40 | 0.95 |
1.15 |
Virginia | 64% | CN5113300000000 | |
Nottoway County, VA | 1.80 | 1.09 |
1.12 |
Virginia | 21% | CN5113500000000 | |
Orange County, VA | 1.38 | 0.89 |
0.95 |
Virginia | 100% | CN5113700000000 | |
Page County, VA | 2.08 | 1.13 |
1.13 |
Virginia | 71% | CN5113900000000 | |
Patrick County, VA | 1.32 | 1.28 |
1.28 |
Virginia | 43% | CN5114100000000 | |
Prince Edward–Cumberland, VA LMA | 1.90 | 0.95 |
0.96 |
Virginia | 100% | 82380 | |
Richmond County, VA | 2.17 | 0.70 |
0.87 |
Virginia | 100% | CN5115900000000 | |
Richmond, VA MSA | 2.21 | 1.00 |
1.00 |
Virginia | 100% | 40060 | |
Roanoke, VA MSA | 1.31 | 0.93 |
0.97 |
Virginia | 100% | 40220 | |
Rockbridge–Lexington–Buena Vista, VA LMA | 1.31 | 1.12 |
1.12 |
Virginia | 57% | 82540 | |
Russell County, VA | 1.53 | 1.09 |
1.09 |
Virginia | 71% | CN5116700000000 | |
Shenandoah County, VA | 1.31 | 0.89 |
0.99 |
Virginia | 100% | CN5117100000000 | |
Smyth County, VA | 1.28 | 0.95 |
0.95 |
Virginia | 100% | CN5117300000000 | |
Southampton–Franklin, VA LMA | 1.53 | 1.18 |
1.18 |
Virginia | 71% | 82740 | |
Staunton–Waynesboro, VA MSA | 1.26 | 0.92 |
0.92 |
Virginia | 100% | 44420 | |
Surry County, VA | 0.93 | 0.93 |
0.93 |
Virginia | 36% | CN5118100000000 | |
Westmoreland County, VA | 1.69 | 0.96 |
1.17 |
Virginia | 43% | CN5119300000000 | |
Winchester, VA–WV MSA | 1.47 | 0.84 |
0.92 |
Virginia,West Virginia | 100% | 49020 | |
Wythe County, VA | 1.70 | 1.11 |
1.11 |
Virginia | 71% | CN5119700000000 | |
Aberdeen, WA μSA | 1.23 | 0.91 |
0.93 |
Washington | 100% | 10140 | |
Bellingham, WA MSA | 1.66 | 1.11 |
1.14 |
Washington | 14% | 13380 | |
Bremerton–Silverdale, WA MSA | 1.33 | 1.01 |
1.03 |
Washington | 36% | 14740 | |
Centralia, WA μSA | 1.28 | 1.00 |
1.00 |
Washington | 100% | 16500 | |
Ellensburg, WA μSA | 1.52 | 0.99 |
0.99 |
Washington | 100% | 21260 | |
Ferry County, WA | 1.84 | 0.80 |
1.13 |
Washington | 71% | CN5301900000000 | |
Jefferson County, WA | 1.47 | 1.47 |
1.47 |
Washington | 14% | CN5303100000000 | |
Kennewick–Richland, WA MSA | 2.11 | 0.92 |
0.92 |
Washington | 100% | 28420 | |
Klickitat County, WA | 1.47 | 1.01 |
1.09 |
Washington | 29% | CN5303900000000 | |
Lincoln County, WA | 1.60 | 1.16 |
1.16 |
Washington | 50% | CN5304300000000 | |
Longview, WA MSA | 1.28 | 1.05 |
1.07 |
Washington | 43% | 31020 | |
Moses Lake, WA μSA | 1.61 | 0.98 |
0.98 |
Washington | 100% | 34180 | |
Mount Vernon–Anacortes, WA MSA | 1.48 | 1.18 |
1.19 |
Washington | 0% | 34580 | |
Oak Harbor, WA μSA | 1.85 | 1.05 |
1.07 |
Washington | 29% | 36020 | |
Okanogan County, WA | 2.04 | 0.98 |
0.98 |
Washington | 100% | CN5304700000000 | |
Olympia–Tumwater, WA MSA | 1.24 | 1.11 |
1.11 |
Washington | 7% | 36500 | |
Othello, WA μSA | 1.55 | 0.95 |
0.96 |
Washington | 100% | 36830 | |
Pacific County, WA | 1.78 | 0.97 |
0.97 |
Washington | 100% | CN5304900000000 | |
Port Angeles, WA μSA | 1.72 | 0.91 |
1.02 |
Washington | 71% | 38820 | |
Pullman, WA μSA | 2.23 | 1.20 |
1.20 |
Washington | 50% | 39420 | |
Seattle–Tacoma–Bellevue, WA MSA | 2.06 | 1.07 |
1.08 |
Washington | 0% | 42660 | |
Shelton, WA μSA | 1.53 | 1.03 |
1.03 |
Washington | 64% | 43220 | |
Spokane–Spokane Valley, WA MSA | 1.77 | 1.04 |
1.05 |
Washington | 14% | 44060 | |
Walla Walla, WA MSA | 1.26 | 1.10 |
1.10 |
Washington | 57% | 47460 | |
Wenatchee, WA MSA | 1.29 | 1.02 |
1.02 |
Washington | 79% | 48300 | |
Yakima, WA MSA | 1.73 | 1.09 |
1.09 |
Washington | 29% | 49420 | |
Barbour County, WV | 1.59 | 0.98 |
1.08 |
West Virginia | 50% | CN5400100000000 | |
Beckley, WV MSA | 1.30 | 1.03 |
1.03 |
West Virginia | 71% | 13220 | |
Braxton County, WV | 1.77 | 1.00 |
1.00 |
West Virginia | 100% | CN5400700000000 | |
Calhoun County, WV | 1.84 | 1.04 |
1.25 |
West Virginia | 0% | CN5401300000000 | |
Charleston, WV MSA | 1.31 | 0.98 |
1.00 |
West Virginia | 100% | 16620 | |
Clarksburg, WV μSA | 1.28 | 1.07 |
1.07 |
West Virginia | 71% | 17220 | |
Elkins, WV μSA | 2.19 | 1.11 |
1.13 |
West Virginia | 57% | 21180 | |
Fairmont, WV μSA | 1.26 | 0.96 |
0.96 |
West Virginia | 100% | 21900 | |
Gilmer County, WV | 2.09 | 0.94 |
0.95 |
West Virginia | 100% | CN5402100000000 | |
Grant County, WV | 1.60 | 1.13 |
1.15 |
West Virginia | 43% | CN5402300000000 | |
Greenbrier County, WV | 1.74 | 1.11 |
1.11 |
West Virginia | 50% | CN5402500000000 | |
Hardy County, WV | 1.51 | 1.10 |
1.12 |
West Virginia | 7% | CN5403100000000 | |
Jackson County, WV | 1.88 | 0.86 |
0.90 |
West Virginia | 100% | CN5403500000000 | |
Lewis County, WV | 1.46 | 0.91 |
0.91 |
West Virginia | 100% | CN5404100000000 | |
Logan, WV μSA | 1.35 | 1.02 |
1.02 |
West Virginia | 86% | 30880 | |
McDowell County, WV | 2.03 | 1.14 |
1.14 |
West Virginia | 71% | CN5404700000000 | |
Mingo County, WV | 1.45 | 1.09 |
1.10 |
West Virginia | 0% | CN5405900000000 | |
Monroe County, WV | 2.04 | 0.65 |
1.03 |
West Virginia | 93% | CN5406300000000 | |
Morgan County, WV | 1.82 | 0.90 |
1.04 |
West Virginia | 86% | CN5406500000000 | |
Morgantown, WV MSA | 1.34 | 1.20 |
1.20 |
West Virginia | 0% | 34060 | |
Nicholas County, WV | 1.48 | 0.94 |
1.10 |
West Virginia | 57% | CN5406700000000 | |
Parkersburg–Vienna, WV MSA | 1.36 | 0.99 |
0.99 |
West Virginia | 100% | 37620 | |
Pendleton County, WV | 1.58 | 0.95 |
0.97 |
West Virginia | 100% | CN5407100000000 | |
Pleasants County, WV | 1.56 | 0.80 |
1.03 |
West Virginia | 79% | CN5407300000000 | |
Pocahontas County, WV | 2.02 | 1.05 |
1.05 |
West Virginia | 79% | CN5407500000000 | |
Ritchie County, WV | 1.45 | 0.77 |
0.83 |
West Virginia | 100% | CN5408500000000 | |
Roane County, WV | 2.17 | 0.97 |
0.97 |
West Virginia | 100% | CN5408700000000 | |
Summers County, WV | 1.38 | 1.09 |
1.18 |
West Virginia | 14% | CN5408900000000 | |
Tucker County, WV | 1.34 | 0.97 |
0.97 |
West Virginia | 100% | CN5409300000000 | |
Tyler County, WV | 1.48 | 1.08 |
1.08 |
West Virginia | 71% | CN5409500000000 | |
Upshur County, WV | 1.75 | 0.85 |
0.98 |
West Virginia | 100% | CN5409700000000 | |
Webster County, WV | 1.35 | 0.99 |
1.01 |
West Virginia | 64% | CN5410100000000 | |
Wetzel County, WV | 1.95 | 1.20 |
1.21 |
West Virginia | 14% | CN5410300000000 | |
Wyoming County, WV | 1.67 | 1.10 |
1.10 |
West Virginia | 50% | CN5410900000000 | |
Adams County, WI | 1.56 | 0.94 |
0.94 |
Wisconsin | 100% | CN5500100000000 | |
Appleton, WI MSA | 1.29 | 1.06 |
1.06 |
Wisconsin | 0% | 11540 | |
Ashland–Bayfield, WI LMA | 1.67 | 1.27 |
1.27 |
Wisconsin | 0% | 80220 | |
Baraboo, WI μSA | 1.62 | 1.03 |
1.03 |
Wisconsin | 86% | 12660 | |
Barron County, WI | 1.78 | 0.93 |
0.93 |
Wisconsin | 100% | CN5500500000000 | |
Beaver Dam, WI μSA | 1.24 | 0.98 |
0.98 |
Wisconsin | 100% | 13180 | |
Buffalo County, WI | 1.49 | 0.92 |
1.17 |
Wisconsin | 43% | CN5501100000000 | |
Burnett County, WI | 1.61 | 0.96 |
1.08 |
Wisconsin | 86% | CN5501300000000 | |
Clark County, WI | 1.37 | 1.17 |
1.17 |
Wisconsin | 50% | CN5501900000000 | |
Crawford County, WI | 1.46 | 1.10 |
1.11 |
Wisconsin | 64% | CN5502300000000 | |
Door County, WI | 1.78 | 0.92 |
0.95 |
Wisconsin | 100% | CN5502900000000 | |
Eau Claire, WI MSA | 1.36 | 0.95 |
0.95 |
Wisconsin | 100% | 20740 | |
Fond du Lac, WI MSA | 1.25 | 0.94 |
0.96 |
Wisconsin | 100% | 22540 | |
Forest County, WI | 1.61 | 0.86 |
0.91 |
Wisconsin | 100% | CN5504100000000 | |
Green Bay, WI MSA | 1.64 | 0.99 |
1.00 |
Wisconsin | 100% | 24580 | |
Green Lake County, WI | 1.55 | 0.97 |
0.97 |
Wisconsin | 100% | CN5504700000000 | |
Jackson County, WI | 1.52 | 1.18 |
1.21 |
Wisconsin | 0% | CN5505300000000 | |
Janesville–Beloit, WI MSA | 1.31 | 1.02 |
1.02 |
Wisconsin | 64% | 27500 | |
Juneau County, WI | 1.61 | 0.93 |
0.96 |
Wisconsin | 100% | CN5505700000000 | |
Lafayette County, WI | 1.80 | 1.09 |
1.11 |
Wisconsin | 7% | CN5506500000000 | |
Langlade County, WI | 1.61 | 1.01 |
1.02 |
Wisconsin | 86% | CN5506700000000 | |
Madison, WI MSA | 1.83 | 1.00 |
1.00 |
Wisconsin | 93% | 31540 | |
Manitowoc, WI μSA | 1.25 | 1.05 |
1.10 |
Wisconsin | 0% | 31820 | |
Marquette County, WI | 1.52 | 0.90 |
0.98 |
Wisconsin | 100% | CN5507700000000 | |
Menomonie, WI μSA | 1.77 | 0.89 |
0.93 |
Wisconsin | 100% | 32860 | |
Merrill, WI μSA | 1.29 | 0.91 |
0.97 |
Wisconsin | 100% | 32980 | |
Milwaukee–Waukesha–West Allis, WI MSA | 4.67 | 0.97 |
0.97 |
Wisconsin | 100% | 33340 | |
Monroe County, WI | 1.68 | 1.13 |
1.13 |
Wisconsin | 0% | CN5508100000000 | |
Oneida County, WI | 1.47 | 1.12 |
1.12 |
Wisconsin | 0% | CN5508500000000 | |
Oshkosh–Neenah, WI MSA | 1.31 | 1.01 |
1.01 |
Wisconsin | 64% | 36780 | |
Pepin County, WI | 1.61 | 0.91 |
0.94 |
Wisconsin | 100% | CN5509100000000 | |
Platteville, WI μSA | 1.40 | 0.95 |
0.95 |
Wisconsin | 100% | 38420 | |
Polk County, WI | 1.85 | 1.12 |
1.12 |
Wisconsin | 71% | CN5509500000000 | |
Price County, WI | 1.89 | 1.19 |
1.21 |
Wisconsin | 0% | CN5509900000000 | |
Racine, WI MSA | 1.37 | 1.12 |
1.12 |
Wisconsin | 64% | 39540 | |
Richland County, WI | 1.61 | 0.96 |
1.02 |
Wisconsin | 93% | CN5510300000000 | |
Rusk County, WI | 1.55 | 0.91 |
0.91 |
Wisconsin | 100% | CN5510700000000 | |
Sawyer County, WI | 2.92 | 1.01 |
1.14 |
Wisconsin | 0% | CN5511300000000 | |
Shawano, WI μSA | 1.41 | 1.03 |
1.03 |
Wisconsin | 79% | 43020 | |
Sheboygan, WI MSA | 1.46 | 1.18 |
1.18 |
Wisconsin | 0% | 43100 | |
Stevens Point, WI μSA | 1.68 | 1.03 |
1.03 |
Wisconsin | 79% | 44620 | |
Taylor County, WI | 1.64 | 0.97 |
1.06 |
Wisconsin | 21% | CN5511900000000 | |
Trempealeau County, WI | 1.61 | 1.04 |
1.04 |
Wisconsin | 36% | CN5512100000000 | |
Vernon County, WI | 1.40 | 1.23 |
1.24 |
Wisconsin | 14% | CN5512300000000 | |
Vilas County, WI | 1.43 | 0.98 |
1.04 |
Wisconsin | 21% | CN5512500000000 | |
Washburn County, WI | 1.45 | 1.13 |
1.20 |
Wisconsin | 0% | CN5512900000000 | |
Watertown–Fort Atkinson, WI μSA | 1.30 | 1.18 |
1.18 |
Wisconsin | 50% | 48020 | |
Waupaca County, WI | 1.32 | 0.96 |
0.99 |
Wisconsin | 100% | CN5513500000000 | |
Wausau, WI MSA | 1.40 | 1.10 |
1.10 |
Wisconsin | 0% | 48140 | |
Waushara County, WI | 1.46 | 1.04 |
1.04 |
Wisconsin | 79% | CN5513700000000 | |
Whitewater–Elkhorn, WI μSA | 1.28 | 0.99 |
1.00 |
Wisconsin | 93% | 48580 | |
Wisconsin Rapids–Marshfield, WI μSA | 1.30 | 0.96 |
0.96 |
Wisconsin | 100% | 49220 | |
Big Horn County, WY | 1.42 | 0.75 |
0.77 |
Wyoming | 100% | CN5600300000000 | |
Carbon County, WY | 1.55 | 1.02 |
1.37 |
Wyoming | 0% | CN5600700000000 | |
Casper, WY MSA | 1.34 | 0.99 |
1.01 |
Wyoming | 86% | 16220 | |
Cheyenne, WY MSA | 1.37 | 1.10 |
1.10 |
Wyoming | 0% | 16940 | |
Converse County, WY | 1.38 | 0.85 |
0.95 |
Wyoming | 100% | CN5600900000000 | |
Crook County, WY | 1.39 | 1.19 |
1.19 |
Wyoming | 71% | CN5601100000000 | |
Evanston, WY μSA | 1.96 | 1.06 |
1.07 |
Wyoming | 50% | 21740 | |
Gillette, WY μSA | 1.27 | 0.88 |
0.92 |
Wyoming | 100% | 23940 | |
Goshen County, WY | 1.66 | 0.92 |
1.30 |
Wyoming | 43% | CN5601500000000 | |
Hot Springs County, WY | 1.94 | 0.86 |
1.05 |
Wyoming | 71% | CN5601700000000 | |
Johnson County, WY | 2.02 | 1.01 |
1.01 |
Wyoming | 86% | CN5601900000000 | |
Laramie, WY μSA | 1.87 | 0.96 |
1.09 |
Wyoming | 64% | 29660 | |
Lincoln County, WY | 1.65 | 1.00 |
1.01 |
Wyoming | 86% | CN5602300000000 | |
Niobrara County, WY | 0.94 | 0.94 |
0.94 |
Wyoming | 36% | CN5602700000000 | |
Park County, WY | 1.50 | 0.98 |
0.98 |
Wyoming | 100% | CN5602900000000 | |
Platte County, WY | 1.35 | 0.74 |
1.07 |
Wyoming | 79% | CN5603100000000 | |
Riverton, WY μSA | 1.36 | 0.98 |
1.14 |
Wyoming | 14% | 40180 | |
Rock Springs, WY μSA | 1.58 | 1.05 |
1.05 |
Wyoming | 64% | 40540 | |
Sheridan, WY μSA | 1.67 | 0.89 |
1.10 |
Wyoming | 43% | 43260 | |
Sublette County, WY | 1.55 | 0.96 |
0.96 |
Wyoming | 100% | CN5603500000000 | |
Washakie County, WY | 1.61 | 0.89 |
0.98 |
Wyoming | 100% | CN5604300000000 | |
Weston County, WY | 1.95 | 1.21 |
1.21 |
Wyoming | 0% | CN5604500000000 |
Introduction
To keep the number of COVID-19 cases manageable, Re should be kept below 1. This model aims to provide retrospective estimates of Re, as well as forecast different scenarios in which social distancing is reduced by various percentages. For the purposes of these scenarios, the reopening date is currently set to planned reopening dates at the State level if known. Otherwise, a date 1 week after the run date of the model is used.
In the U.S., based on recommendations from the White House, beginning a partial reopening should only be undertaken when the number of documented cases has a downward trajectory over a 14-day period. This is an equivalent to Re being under 1 for the same period.
An export of Re data over time can be found in the footer.
What are R0 and Re?
An R0 or Re is defined as the average number people infected by each patient who contracts COVID-19. For example, a value of 1 means on average 1 person is infected by each person who contracts COVID-19.
R0 is the basic reproduction number at the beginning of the epidemic and prior to social distancing. Re is the effective reproduction number that takes into account social distancing measures and partial herd immunity from antibody immunity and is the best measure of the current rate of spread of the epidemic.
Assuming that Re stays the same over time, the following table gives the doubling time given the Re value:
Re | Doubling Time (Days) |
---|---|
1.0 | \(\infty\) |
1.1 | 28.8 |
1.2 | 15.1 |
1.3 | 10.5 |
1.4 | 8.2 |
1.5 | 6.8 |
1.7 | 5.2 |
2.0 | 4.0 |
3.0 | 2.5 |
4.0 | 2.0 |
6.0 | 1.5 |
How is the Cerner Resurgence Risk Index (CRRI) defined?
The CRRI is defined as
1 (low risk) when Re is less than 0.9
2 (medium risk) when Re is between 0.9 and 1.1
3 (high risk) when Re is between 1.1 and 1.3
4 (very high risk) when Re is greater than 1.3
Geographical areas
A core based statistical area (CBSA) is a U.S. geographic area defined by the Office of Management and Budget (OMB) that consists of one or more counties (or equivalents) anchored by an urban center of at least 10,000 people plus adjacent counties that are socioeconomically tied to the urban center by commuting. A CBSA is either a metropolitan statistical area (MSA) or a micropolitan statistical area (μSA), determined by whether the area has a population of greater than or less than 50,000, respectively. Core-based statistical areas wree introduced in 2003 to replace the previous concept of "metropolitan areas".
A combined statistical area (CSA) is a United States Office of Management and Budget (OMB) term for a combination of adjacent CBSAs in the United States and Puerto Rico that can demonstrate economic or social linkage.
A labor market area is an economically integrated region in which residents can find jobs within a reasonable commuting distance or can change their employment without changing their place of residence.
A New England city and town area (NECTA) is a geographic and statistical entity defined by the U.S. federal government for use in the six-state New England region. We use MNECTA to refer to a metropolitan NECTA and μNECTA to refer to a micropolitan NECTA.
Data sources
Only publicly available data sources were used to build the Cerner model. The public data sources include:
Methodology
We first use local regression on the cumulative case counts to derive a smoothed version of the daily case counts. Then, we apply a local exponential regression on these smoothed daily case counts in order to infer the logarithmic growth rate. The logarithmic growth rate \(k(t)\) can be thought of as the approximate day-to-day percentage increase in daily case count.
In order to account for increases in testing , we also compute the logarithmic growth rate of testing \(k_{\mathrm{test}}\), and model the true case growth rate as \[ k_{\mathrm{true}}(t) = k(t) - \phi \min(k_{\mathrm{test}}(t), \,0.1) \] where \(\phi\) is a parameter currently set to 0.8. Note that because the median time from first symptoms to death is 14 days, we shift the deaths growth rate backwards by 14 days.
Note that because testing data is not available for every country, we do not do a testing adjustment if the data is not available, and for CSA and CBSA, we assume that the state trends in testing apply.
We then use the SEIR model to calculate an estimate for Re over time and apply a moving average to smooth out short time-scale variations. To parametrize this SEIR model, based on the literature, we assume that the latent period is 3 days, and the serial interval is 3.96 days.
We compute an Re value from the mean of the (testing-adjusted) case growth rate and the (time-shifted) deaths growth rate. Because of the time shifting, we do not use the deaths growth rate for the last 14 days before the model is run, and we linearly transition from using the mixture of cases and death growth rates to only deaths growth rate for the period between 14 and 21 days before hte model is run.
We assume that Re remains what it is today until social distancing is relaxed. The planned date of any partial reopening is used, if known, and is otherwise assumed to be May 15. Currently we have collated this data for U.S. states but not for other geographical groupings. After that date, we assume that Re will eventually increase by various percentages toward the initial R0. The model assumes that Re will reach its eventual value within 10 days of the reopening date.
The SEIR model is used to predict the case counts. We estimate the actual case counts as \(7(\mathrm{positivity} / 0.12)^{0.5} (\textrm{positive cases}) \). The number 0.12 is the current average test positivity rate across all US states. An exponent of 0 would assume that the undercount ratio is constant, while an exponent of 1 would assume that testing is done via a true random sample. We therefore choose an exponent of 0.5 to represent an intermediate strategy. There is evidence supporting a nonlinear relationship between the test positivity rate and the number of cases.
This analysis is built for each CSA or CBSA with at least 100 cumulative cases and a daily case count of 10 for at least three days.
Discussion
All interventions, including but not limited to social distancing policies, wearing masks in public, contact tracing, and expanded testing can reduce Re and any plan for reopening should make use of all available strategies. Monitoring the state of Re is of paramount importance in making continuing decisions about social distancing policies and allocation of resources.
Finally, it's worth mentioning effective mask-wearing, contact tracing, and mass testing are some of the most effective ways to deal with the COVID-19 epidemic. A good example is South Korea's success in reducing Re with such policies. Masks can reduce transmission by over 75%.
Caveats
Estimations of Re can have high variance for regions with few total cases documented, or a relatively short history of having 10 or more cases.
Case counts can be unreliable, and the amount of unreliability may vary by jurisdiction. Many cases of COVID-19 go undetected because the patient is either asymptomatic or mildly symptomatic and doesn't undergo testing. We chose to primarily use case counts instead of deaths because of the inherent time lag of deaths data, which can be a hindrance for public health planning and for hospital surge planning.
Data may be incomplete for the most recent 3 days or so included in the model due to reporting delays.
Forecasted future daily case counts are based on current reporting practices, and estimate the number of cases that will be reported, not the actual total.
Because many of the factors going into Re are inherently behavioral and policy-based rather than epidemiological, we assume a constant Re between the time the model is run and the assumed relaxation date.
Some states include antibody tests in their testing counts, which can give an inaccurate picture of the level of testing. There are also various reports of numbers being reported inaccurately by some states, including reporting COVID-19 deaths as pneumonia deaths.
Results are not guaranteed.
Changelog
- 3/12/2021
- On 3/11/2021, Johns Hopkins began to integrate probable/antigen cases for Missouri. They backdistributed these on the state level, but not for the county-level data we ingest, instead marking all of those cases as having occured on 3/11/2021 (which does not correspond to an actual surge in cases). This should stop impacting predictions in approximately one week. GitHub issue with further discussion/explanation
7/1/2020
- With improved error estimations, it's now possible to provide predictions for smaller CBSAs without providing a misleading sense of accuracy.
- The number of CBSAs with predictions is nearly tripled as a result
6/24/2020
- Build process moved to AWS and simulation counts increased from 50 to 200. Should provide improved error estimations
6/18/2020
- Readded Maine testing data from 6/10/2020 onwards
- Added doubling time table in model documentation
5/29/2020
- Adjusted summary plot labels for clarity
- Added reopening dates to historical state plot
5/28/2020
- Updated UI and adjusted scenarios
5/26/2020
- Error modeling improved
5/17/2020
- \(\phi\) changed to 0.8
- Minimum test growth changed to -0.05
5/16/2020
- Texas test count may be inflated due to inclusion of antibody tests in reporting
5/14/2020
- Scenarios for 75% and 100% now dotted (less plausible scenarios)
5/13/2020
- Testing data for countries is added, graph displays improved for clarity
5/12/2020
- Growth rates now account for increases in testing, so Re estimates and CRRIs will on average be lower
5/10/2020
- Changed methodology for parametrizing epidemiological forecasts
- Make charts open summary plot on click
5/9/2020
- Added per capita case counts
- Bugfixes
- Removal of some mass reporting of prison cases to avoid skewing data away from community spread