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2020 Decennial Census
Detail
Diversity Index *
| 2020 | 2010 | Change |
|---|---|---|
| 57 | 54 | 3 |
* The USA TODAY diversity index shows on a scale of 0 to 100 how likely it is two people from an area would have a different race or ethnicity. A score of 0 would mean everyone had the same race and ethnicity; a score of 100 would mean everyone in an area had a distinctly different combination of race and ethnicity. Nearly everywhere is some place in the middle. The index was invented in 1991 by Phil Meyer of the University of North Carolina and Shawn McIntosh, who was then with USA TODAY. This score differs from the Census Bureau's version of the diversity index because of differences in how the bureau's formula counts race and Hispanic origin.
Population by Race/Ethnicity
| 2020 | 2010 | Change | ||||
|---|---|---|---|---|---|---|
| # | % | # | % | |||
| Total | 24,596 | 23,316 | 5.5% | |||
| Race | White | 12,166 | 49.5% | 11,070 | 47.5% | 9.9% |
| Black | 11,027 | 44.8% | 11,533 | 49.5% | -4.4% | |
| American Indian | 58 | 0.2% | 49 | 0.2% | 18.4% | |
| Asian | 97 | 0.4% | 77 | 0.3% | 26.0% | |
| Pacific Islander | 13 | 0.1% | 20 | 0.1% | -35.0% | |
| Other | 329 | 1.3% | 260 | 1.1% | 26.5% | |
| Two or More | 906 | 3.7% | 307 | 1.3% | 195.1% | |
| Ethnicity | Hispanic or Latino | 777 | 3.2% | 617 | 2.6% | 25.9% |
Population by Race/Ethnicity: 18 Years and Over
| 2020 | 2010 | Change | ||||
|---|---|---|---|---|---|---|
| # | % | # | % | |||
| Total | 18,778 | 16,731 | 12.2% | |||
| Race | White | 9,697 | 51.6% | 8,479 | 50.7% | 14.4% |
| Black | 8,142 | 43.4% | 7,803 | 46.6% | 4.3% | |
| American Indian | 53 | 0.3% | 40 | 0.2% | 32.5% | |
| Asian | 75 | 0.4% | 64 | 0.4% | 17.2% | |
| Pacific Islander | 12 | 0.1% | 11 | 0.1% | 9.1% | |
| Other | 247 | 1.3% | 194 | 1.2% | 27.3% | |
| Two or More | 552 | 2.9% | 140 | 0.8% | 294.3% | |
| Ethnicity | Hispanic or Latino | 494 | 2.6% | 414 | 2.5% | 19.3% |
Diversity Index *
| 2020 | 2010 | Change |
|---|---|---|
| 57 | 54 | 3 |
* The USA TODAY diversity index shows on a scale of 0 to 100 how likely it is two people from an area would have a different race or ethnicity. A score of 0 would mean everyone had the same race and ethnicity; a score of 100 would mean everyone in an area had a distinctly different combination of race and ethnicity. Nearly everywhere is some place in the middle. The index was invented in 1991 by Phil Meyer of the University of North Carolina and Shawn McIntosh, who was then with USA TODAY. This score differs from the Census Bureau's version of the diversity index because of differences in how the bureau's formula counts race and Hispanic origin.
Housing Units
| 2020 | 2010 | Change | |||
|---|---|---|---|---|---|
| # | % | # | % | ||
| Total Housing Units | 11,138 | 9,865 | 12.9% | ||
| Occupied | 9,905 | 88.9% | 8,533 | 86.5% | 16.1% |
| Vacant | 1,233 | 11.1% | 1,332 | 13.5% | -7.4% |
Population in Group Quarters
| 2020 | |
|---|---|
| Total Population in Group Quarters | 224 |
| Institutionalized Population | 224 |
| Correctional Facilities for Adults | 101 |
| Juvenile Facilities | 0 |
| Nursing Facilities/Skilled-nursing Facilities | 123 |
| Other Institutional Facilities | 0 |
| Noninstitutionalized Population | 0 |
| College/University Student Housing | 0 |
| Military Quarters | 0 |
| Other Noninstitutional Facilities | 0 |
Map
Total Population Change
Less than -3%
-3% to 0%
0% to 3%
3% to 6%
6% to 9%
9% to 12%
12% to 15%
15% to 18%
More than 18%
N/A
1:500,000 scale
Other Areas in Burke County, Georgia
| Total Population | Age 18 and Over | ||||||
| Total Population | Age 18 and Over | ||||||
| Area | Diversity Index | Total Population | Hispanic | Not Hispanic, White | Total Population | Hispanic | Not Hispanic, White |
|---|---|---|---|---|---|---|---|
010 United States | 67 12 | 331,449,281 7.4% | 62,080,044 18.7% 23.0% | 191,697,647 57.8% -2.6% | 258,343,281 8.8% | 43,322,792 16.8% 19.9% | 157,118,573 60.8% 0.0% |
040-13 Georgia | 67 8 | 10,711,908 10.6% | 1,123,457 10.5% 31.6% | 5,362,156 50.1% -1.0% | 8,220,274 14.2% | 742,918 9.0% 38.0% | 4,342,333 52.8% 2.4% |
050-13033 Burke County, Georgia | 57 3 | 24,596 5.5% | 777 3.2% 25.9% | 11,941 48.5% 10.1% | 18,778 12.2% | 494 2.6% 19.3% | 9,566 50.9% 14.7% |
140-13033950101 Census Tract 9501.01, Burke County, Georgia | 53 4 | 3,034 8.6% | 138 4.5% 50.0% | 1,918 63.2% 6.3% | 2,348 14.3% | 84 3.6% 29.2% | 1,542 65.7% 11.0% |
140-13033950102 Census Tract 9501.02, Burke County, Georgia | 56 4 | 2,701 20.0% | 86 3.2% 207.1% | 1,402 51.9% 53.7% | 2,183 28.2% | 67 3.1% 235.0% | 1,174 53.8% 58.9% |
140-13033950200 Census Tract 9502, Burke County, Georgia | 56 4 | 3,151 11.2% | 177 5.6% 3.5% | 1,974 62.6% 7.3% | 2,398 14.2% | 114 4.8% 14.0% | 1,552 64.7% 11.6% |
140-13033950400 Census Tract 9504, Burke County, Georgia | 47 6 | 5,100 -1.8% | 113 2.2% 15.3% | 1,373 26.9% 15.3% | 3,626 4.3% | 72 2.0% -7.7% | 1,056 29.1% 11.7% |
140-13033950500 Census Tract 9505, Burke County, Georgia | 55 2 | 5,697 6.5% | 120 2.1% -1.6% | 2,904 51.0% 4.8% | 4,355 15.4% | 69 1.6% -18.8% | 2,338 53.7% 11.8% |
140-13033950700 Census Tract 9507, Burke County, Georgia | 55 2 | 2,992 -4.7% | 50 1.7% -20.6% | 1,614 53.9% 0.7% | 2,352 2.1% | 33 1.4% -8.3% | 1,305 55.5% 5.2% |
140-13033950900 Census Tract 9509, Burke County, Georgia | 56 3 | 1,921 9.3% | 93 4.8% 116.3% | 756 39.4% 4.3% | 1,516 14.8% | 55 3.6% 83.3% | 599 39.5% 10.3% |
Status of sex offenders in Florida
Source: U.S. Census Bureau
* Because tract and legislative district boundaries have changed in some cases, USA TODAY estimated 2020 tract and legislative district population counts based on their new boundaries for consistency.
Total Population Change
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"source": { "type": "geojson", "data":sJSON }, 'layout': {'visibility': "visible"}, "paint": {'fill-color': {property: 'total_ypc', stops: stopvar},'fill-opacity':0.8, 'fill-outline-color': '#666666',}}, firstSymbolId); map.on('click', 'census_main_layer', function (e) {new mapboxgl.Popup({ offset: 14 }).setLngLat(e.lngLat).setHTML(onCensusAllFeature(e.features[0])).addTo(map);}); map.on('mouseenter', 'census_main_layer', function () {map.getCanvas().style.cursor = 'pointer';}); map.on('mouseleave', 'census_main_layer', function () {map.getCanvas().style.cursor = '';}); map.addLayer({"id": "census_cousub_layer", "type": "fill", "source": { "type": "geojson", "data":pJSON }, 'layout': {'visibility': "none"}, "paint": {'fill-color': {property: 'total_ypc', stops: stopvar},'fill-opacity':0.8, 'fill-outline-color': '#666666',}}, firstSymbolId); map.on('click', 'census_cousub_layer', function (e) {new mapboxgl.Popup({ offset: 14 }).setLngLat(e.lngLat).setHTML(onCensusAllFeature(e.features[0])).addTo(map);}); map.on('mouseenter', 'census_cousub_layer', function () {map.getCanvas().style.cursor = 'pointer';}); map.on('mouseleave', 'census_cousub_layer', function () {map.getCanvas().style.cursor = '';}); map.addLayer({'id': 'areaBoundary', 'type': 'line', 'source': { "type": "geojson", "data":Gon2Line(G2020_050_13033) }, 'layout': { 'line-join': 'round', 'line-cap': 'round' }, 'paint': { 'line-color': '#288499', 'line-width': 4 } }, firstSymbolId); }); var toggleableLayerIds = [['census_main_layer','Tract'],['census_cousub_layer','City/Town'] ]; for (var i = 0; i < toggleableLayerIds.length; i++) { var id = toggleableLayerIds[i][0]; if (id === 'census_main_layer'){ var otrid = 'census_cousub_layer';} else {var otrid = 'census_main_layer';} var idstr = toggleableLayerIds[i][1]; var link = document.createElement('a'); link.href = '#'; if(i == 0){link.className = 'active';}else{link.className = 'notactive';} 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var bounds = new mapboxgl.LngLatBounds();BounceLine.forEach(function(Tpolygon) { Tpolygon.forEach(function(Tline){ Tline.forEach(function(Tpoint){bounds.extend(Tpoint); }) }) });//plvb: dcg object (2020-050-13033)map.fitBounds(bounds, { padding: 120 });map.addControl(new mapboxgl.NavigationControl(), 'top-left');
