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2020 Decennial Census
Detail
Diversity Index *
| 2020 | 2010 | Change |
|---|---|---|
| 50 | 46 | 4 |
* 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 | 18,444 | 18,236 | 1.1% | |||
| Race | White | 13,071 | 70.9% | 13,385 | 73.4% | -2.3% |
| Black | 3,387 | 18.4% | 3,392 | 18.6% | -0.1% | |
| American Indian | 91 | 0.5% | 68 | 0.4% | 33.8% | |
| Asian | 128 | 0.7% | 126 | 0.7% | 1.6% | |
| Pacific Islander | 1 | 0.0% | 23 | 0.1% | -95.7% | |
| Other | 1,059 | 5.7% | 1,047 | 5.7% | 1.1% | |
| Two or More | 707 | 3.8% | 195 | 1.1% | 262.6% | |
| Ethnicity | Hispanic or Latino | 1,825 | 9.9% | 1,704 | 9.3% | 7.1% |
Population by Race/Ethnicity: 18 Years and Over
| 2020 | 2010 | Change | ||||
|---|---|---|---|---|---|---|
| # | % | # | % | |||
| Total | 13,958 | 13,542 | 3.1% | |||
| Race | White | 10,299 | 73.8% | 10,287 | 76.0% | 0.1% |
| Black | 2,441 | 17.5% | 2,400 | 17.7% | 1.7% | |
| American Indian | 68 | 0.5% | 47 | 0.3% | 44.7% | |
| Asian | 110 | 0.8% | 90 | 0.7% | 22.2% | |
| Pacific Islander | 1 | 0.0% | 13 | 0.1% | -92.3% | |
| Other | 673 | 4.8% | 633 | 4.7% | 6.3% | |
| Two or More | 366 | 2.6% | 72 | 0.5% | 408.3% | |
| Ethnicity | Hispanic or Latino | 1,118 | 8.0% | 1,016 | 7.5% | 10.0% |
Diversity Index *
| 2020 | 2010 | Change |
|---|---|---|
| 50 | 46 | 4 |
* 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 | 8,496 | 8,512 | -0.2% | ||
| Occupied | 7,135 | 84.0% | 6,969 | 81.9% | 2.4% |
| Vacant | 1,361 | 16.0% | 1,543 | 18.1% | -11.8% |
Population in Group Quarters
| 2020 | |
|---|---|
| Total Population in Group Quarters | 398 |
| Institutionalized Population | 392 |
| Correctional Facilities for Adults | 270 |
| Juvenile Facilities | 43 |
| Nursing Facilities/Skilled-nursing Facilities | 79 |
| Other Institutional Facilities | 0 |
| Noninstitutionalized Population | 6 |
| College/University Student Housing | 0 |
| Military Quarters | 0 |
| Other Noninstitutional Facilities | 6 |
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 Appling County, Georgia
| Race | Ethnicity | |||||||||
| Area | Total | White | Black | Asian | Indian | Islander | Other | Two or More | Hispanic | Not Hispanic, White |
|---|---|---|---|---|---|---|---|---|---|---|
010 United States | 331,449,281 7.4% | 204,277,273 61.6% -8.6% | 41,104,200 12.4% 5.6% | 19,886,049 6.0% 35.5% | 3,727,135 1.1% 27.1% | 689,966 0.2% 27.8% | 27,915,715 8.4% 46.1% | 33,848,943 10.2% 275.7% | 62,080,044 18.7% 23.0% | 191,697,647 57.8% |
040-13 Georgia | 10,711,908 10.6% | 5,555,483 51.9% -4.0% | 3,320,513 31.0% 12.5% | 479,028 4.5% 52.3% | 50,618 0.5% 57.4% | 7,299 0.1% 7.4% | 555,059 5.2% 42.7% | 743,908 6.9% 258.5% | 1,123,457 10.5% 31.6% | 5,362,156 50.1% |
050-13001 Appling County, Georgia | 18,444 1.1% | 13,071 70.9% -2.3% | 3,387 18.4% -0.1% | 128 0.7% 1.6% | 91 0.5% 33.8% | 1 0.0% -95.7% | 1,059 5.7% 1.1% | 707 3.8% 262.6% | 1,825 9.9% 7.1% | 12,674 68.7% |
140-13001950100 Census Tract 9501, Appling County, Georgia | 3,018 -5.4% | 2,726 90.3% -8.4% | 128 4.2% 10.3% | 6 0.2% -14.3% | 13 0.4% 160.0% | 38 1.3% -30.9% | 107 3.5% 245.2% | 100 3.3% -3.8% | 2,695 89.3% | |
140-13001950201 Census Tract 9502.01, Appling County, Georgia | 2,129 4.2% | 1,222 57.4% 5.7% | 682 32.0% -11.0% | 12 0.6% 71.4% | 8 0.4% 166.7% | 127 6.0% 44.3% | 78 3.7% 239.1% | 205 9.6% 29.7% | 1,182 55.5% 7.3% | |
140-13001950202 Census Tract 9502.02, Appling County, Georgia | 2,159 -13.2% | 922 42.7% -11.2% | 1,086 50.3% -13.9% | 10 0.5% -9.1% | 1 0.0% -50.0% | 73 3.4% -48.6% | 67 3.1% 103.0% | 123 5.7% -49.2% | 900 41.7% | |
140-13001950301 Census Tract 9503.01, Appling County, Georgia | 3,090 0.9% | 1,982 64.1% -7.8% | 630 20.4% 9.8% | 67 2.2% 0.0% | 23 0.7% 228.6% | 282 9.1% 27.6% | 106 3.4% 231.2% | 501 16.2% 19.3% | 1,830 59.2% | |
140-13001950302 Census Tract 9503.02, Appling County, Georgia | 2,421 14.6% | 1,612 66.6% 0.8% | 358 14.8% 75.5% | 19 0.8% 5.6% | 11 0.5% 120.0% | 266 11.0% 2.3% | 155 6.4% 474.1% | 387 16.0% 11.2% | 1,573 65.0% 3.8% | |
140-13001950400 Census Tract 9504, Appling County, Georgia | 1,481 0.3% | 1,151 77.7% 1.1% | 247 16.7% -9.9% | 7 0.5% -12.5% | 2 0.1% -80.0% | 20 1.4% -25.9% | 54 3.6% 184.2% | 52 3.5% 36.8% | 1,142 77.1% 0.4% | |
140-13001950500 Census Tract 9505, Appling County, Georgia | 4,146 7.3% | 3,456 83.4% 3.8% | 256 6.2% 29.9% | 7 0.2% -12.5% | 33 0.8% -8.3% | 1 0.0% -90.9% | 253 6.1% -0.4% | 140 3.4% 366.7% | 457 11.0% 16.0% | 3,352 80.8% 4.3% |
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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var firstSymbolId; for (var i = 0; i < layers.length; i++) { if (layers[i].type === 'symbol') { firstSymbolId = layers[i].id; break; } } //map.addSource("CensusSL",{ "type": "geojson", "data":'/media/jsons/census/d/010/010.json' }); "source": "CensusSL", /"filter": ["any",[">=", "total_ypc", 0]], map.addLayer({"id": "census_main_layer", "type": "fill", "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_13001) }, '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';} link.tgid = id; link.oid = otrid; link.textContent = idstr; link.setAttribute("id",id+'_id') link.onclick = function (e) { var clickedLayer = this.tgid; var anotherLayer = this.oid; e.preventDefault(); e.stopPropagation(); var visibility = map.getLayoutProperty(clickedLayer, 'visibility'); $('.active').each(function() {$(this).removeClass().addClass( "notactive" ); });// $('#ue_county_id').removeClass().addClass( "notactive" );// $('#ue_state_id').removeClass().addClass( "notactive" ); this.className = 'active'; for (tli of toggleableLayerIds) {if(tli[0] != this.tgid){map.setLayoutProperty(tli[0], 'visibility', 'none')}} map.setLayoutProperty(clickedLayer, 'visibility', 'visible');// map.setLayoutProperty(anotherLayer, 'visibility', 'none'); }; var layers = document.getElementById('mapmenu'); layers.appendChild(link);}function getBoundary(ggs){ if (ggs['type'] == 'Polygon'){ return [ggs['coordinates']] } else { return ggs['coordinates'] }}var BounceLine = getBoundary(G2020_050_13001); 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