Demographic Report - Edgewood, GA
Area
Demographics
Market Area Fulton County, GA
2019 2024 2019 2024
Population 64,608 71,596 1,060,373 1,140,228
Population Change (Percent Change) 6,988 (10.8%) 79,855 (7.5%)
Households 31,260 34,671 436,970 471,898
Households Change 3,410 (10.9%) 34,928 (8.0%)
Housing Units 34,230 37,606 492,651 528,824
Housing Units Change 3,376 (9.9%) 36,173 (7.3%)
Owner-Occupied Housing Units 15,021 16,115 221,311 239,784
Percent Owners 48.1% 46.5% 50.6% 50.8%
Owner Change 1,094 (7.3%) 18,473 (8.3%)
Renter-Occupied Housing Units 16,240 18,556 215,659 232,114
Percent Renters 51.9% 53.5% 49.4% 49.2%
Renter Change 2,317 (14.3%) 16,455 (7.6%)
Source: ESRI, Vogt Strategic Insights

Vogt Strategic Insights - Real Estate Market Research and Appraisals
Vogt Strategic Insights - Market Area Demographics

Population By
Single Race
Market Area Fulton County, GA
White Alone 33,902 409,697
Black Or African American 17,307 405,575
American Indian/Alaska Native 116 2,259
Asian Alone 1,215 51,569
Hawaiian/Pacific Islander 15 335
Some Other Race Alone 618 30,867
Two Or More Races 1,335 20,279
Total 54,509 920,581
Hispanic* 2,023 72,566
*- Hispanics can be any race
Source: Census 2010, Urban Decision Group, Vogt Strategic Insights

Household
Composition 2010
Market Area Fulton County, GA
Married Couple
With Children
3,327 66,799
Lone Male Parent
With Children
351 8,109
Lone Female Parent
With Children
1,936 40,364
Married Couple
No Children
4,012 67,509
Lone Male Parent
No Children
409 7,660
Lone Female Parent
No Children
1,062 18,774
Source: 2010 Census, Urban Decision Group, Vogt Strategic Insights

Annual Household
Income 2010
Market Area Fulton County, GA
Number Percent Number Percent
< $15,000 3,400 12.5% 0 nan%
$15,000 - $24,999 2,158 8.0% 0 nan%
$25,000 - $34,999 1,905 7.0% 0 nan%
$35,000 - $49,999 3,007 11.1% 0 nan%
$50,000 - $74,999 4,081 15.0% 0 nan%
$75,000 - $99,999 3,191 11.8% 0 nan%
$100,000 - $124,999 2,484 9.2% 0 nan%
$125,000 - $149,999 1,678 6.2% 0 nan%
$150,000 - $199,999 2,066 7.6% 0 nan%
>$200,000 3,167 11.7% 0 nan%
Source:2006-2010 ACS Five-Year Average Estimates, Urban Decision Group, Vogt Strategic Insights, Ltd.
Vogt Strategic Insights - Real Estate Market Research and Appraisals
Vogt Strategic Insights - Market Area Demographics

Housing Units By
Structure Type 2010
Market Area Fulton County, GA
Number Percent Number Percent
1-Unit, Detached 14,702 48.4% 0 nan%
1-Unit, Attached 1,850 6.1% 0 nan%
2 To 4 Units 3,461 11.4% 0 nan%
5 to 19 Units 4,596 15.1% 0 nan%
20 to 49 Units 1,485 4.9% 0 nan%
50 or More Units 4,122 13.6% 0 nan%
Mobile Home 112 0.4% 0 nan%
Boat, RV, Van, Etc. 36 0.1% 0 nan%
Total 30,363   0  
Source: ESRI, Vogt Strategic Insights

Households By Age Of
Householder 2010
Market Area
Family Households Non-Family Households
Number Percent Number Percent
15 - 24 287 2.6% 1,229 8.1%
25 - 34 2,643 23.8% 4,950 32.7%
35 - 44 3,314 29.9% 3,329 22.0%
45 - 54 1,983 17.9% 2,232 14.7%
55 - 64 1,503 13.5% 1,704 11.2%
65 - 74 752 6.8% 900 5.9%
75 - 84 461 4.2% 560 3.7%
85+ 152 1.4% 256 1.7%
Source: Census 2010, Urban Decision Group, Vogt Strategic Insights

Tenure By Age Of
Householder 2010
Market Area
Owner Occupied Renter Occupied
Number Percent Number Percent
15 - 24 132 0.9% 1,384 11.8%
25 - 34 3,037 21.0% 4,557 38.7%
35 - 44 4,297 29.7% 2,346 19.9%
45 - 54 2,799 19.3% 1,417 12.0%
55 - 64 1,180 8.1% 545 4.6%
65 - 74 2,104 14.5% 1,031 8.8%
75 - 84 678 4.7% 343 2.9%
85+ 261 1.8% 147 1.2%
Source: Census 2010, Urban Decision Group, Vogt Strategic Insights
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Vogt Strategic Insights - Market Area Demographics

Households By Age Of
Householder 2010
Fulton County, GA
Family Households Non-Family Households
Number Percent Number Percent
15 - 24 6,944 3.3% 15,542 9.3%
25 - 34 38,881 18.6% 42,589 25.5%
35 - 44 53,218 25.4% 29,057 17.4%
45 - 54 48,288 23.1% 26,926 16.1%
55 - 64 34,249 16.4% 24,016 14.4%
65 - 74 17,301 8.3% 13,948 8.3%
75 - 84 7,972 3.8% 9,282 5.6%
85+ 2,362 1.1% 5,802 3.5%
Source: Census 2010, Urban Decision Group, Vogt Strategic Insights

Tenure By Age Of
Householder 2010
Fulton County, GA
Owner Occupied Renter Occupied
Number Percent Number Percent
15 - 24 2,148 1.1% 20,339 11.7%
25 - 34 26,609 13.2% 54,865 31.5%
35 - 44 46,096 22.8% 36,192 20.8%
45 - 54 48,814 24.1% 26,423 15.2%
55 - 64 21,308 10.5% 9,874 5.7%
65 - 74 41,555 20.5% 16,807 9.7%
75 - 84 11,573 5.7% 5,684 3.3%
85+ 4,230 2.1% 3,935 2.3%
Source: Census 2010, Urban Decision Group, Vogt Strategic Insights


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Disclaimer:

Vogt Strategic Insights relies on a variety of sources of data to generate this information. Sources include:

Vogt Strategic Insights makes a significant effort to assure accuracy; nonetheless, before relying on these numbers, they should be verified by the applicable state housing agency to be certain that they agree with those published by the state. The information on the website should be used only as a quick reference tool. As consideration for your use of this tool, you agree to hold Vogt Strategic Insights harmless fom any damages or claims related to the use of the demographic, HUD or Tax Credit rent and income information posted on the Vogt Strategic Insights website.


Methodology Related To Census Tract Division:

A given market area may comprise several entire Census tracts and only a portion of another. When just parts of the Census tracts are in the user-defined market, only the specific geographic areas that lie within the market are included in the area demographic report.


Whatever percentage of the Census tract's geographical area that is enclosed in the user-defined market area is used in the calculation, not the shares of the various demographic profiles represented there.


Consequently, caution should be excercised when using this tool. When only a percentage of a Census tract falls within the user-defined market, the demographics of the entire tract are divided by that value. Realistically, however, the part of the Census tract actually within the market area may contain smaller or larger shares of the various demographics than the shares of the Census tract's geographical area not included.


In instances where fragments of multiple Census tracts are included, the average of the coverage is used to calculate the applied percentage; the data is then rounded to the nearest whole number.


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