20171 Zip Code Population and Demographics

In this article, we'll explore the population statistics for the zip code 20171, including popular demographics data like median age, number of households, household income, gender, employment and unemployment rates, occupations, religion, and more.

20171 is a zip code in Fairfax County, Virginia, which covers Hunter Mill and Sully, with a total population of 50,005 people.

We are using the latest American Community Survey (ACS) 5-Year survey data from the US Census Bureau, which is accurate up to 2021.

Table of Contents

Population

There is a lot of data that lets us see how many people live in the 20171 zip code. The most basic data is the total population, which is the total number of people living in 20171.

The estimated population of people living in 20171 is 50,005, with a median age of 35.8.

We can look back at data from previous years to see how the population in the 20171 area has changed over the last 5 years.

Year Population Change 5-Year Change
2021
50,005
 -1% -1.22%
2020
50,511
 -1.14% -
2019
51,093
+1.49%
-
2018
50,342
 -0.56% -
2017
50,624
 - -

Population of 20171 by Race and Ethnicity

How much has the race and ethnicity of the population in the 20171 zip code changed? The US Census Bureau gives us a few defined types that the population is broken down into.

Let's look at the total numbers and also the change over the last 5 years.

Race 2021 2017 Change
White
45.6%
44.3%
 +2.93%
Black/African American
6.9%
10.4%
 -33.65%
Native
0.2%
0.4%
 -50.00%
Hispanic
7.9%
8.3%
 -4.82%
Asian
34.8%
33.6%
 +3.57%
Hawaiian/Pacific Islander
0.3%
0%
 0.00%
Two Or More Races
4.1%
2.6%
 +57.69%
Other
0.1%
0.3%
 -66.67%

This data can be very important for anybody studying the 20171 zip for a number of reasons, including social and economic research, planning and development, and marketing to a multi-cultural population.

Note that the Native group includes both Native American and Alaskan Native people.

Population of 20171 by Age and Gender

We can also monitor the change of the age and gender in the 20171 zip code to track track trends in the population over time.

We can see how the population in 20171 has changed over the last 5 years by median age as a total, and also by male and female.

Year Total Male Female
2021 35.8 -1.38% 35.1 -1.68% 36.7 -0.27%
2020 36.3 -0.27% 35.7 -2.19% 36.8 +1.38%
2019 36.4 +0.55% 36.5 +1.67% 36.3 -0.27%
2018 36.2 +0.84% 35.9 -0.55% 36.4 +1.68%
2017 35.9 - 36.1 - 35.8 -

The median age of the 20171 zip gives you an idea of the age distribution, with half of the population being older than the median age and half being younger.

This can then be used to infer and compare against birth rates, parent ages, and more metrics to understand the population. For example, an increasing median age indicates an aging population in the 20171 area, which can be a sign of a declining population in terms of birth rates and workforce participation.

Age 2021 2017
(Years) Male Female Male Female
0 to 9 3,906 -4% 3,558 -16.23% 3,739 2,999
10 to 19 3,538 +2.01% 3,496 -6.54% 3,600 3,249
20 to 29 3,073 +13.15% 3,252 -6.86% 3,491 3,030
30 to 39 3,723 +19.34% 4,292 -5.01% 4,489 4,077
40 to 49 4,374 -6.55% 3,992 -4.23% 4,078 3,821
50 to 59 3,706 -8.54% 3,672 -10.77% 3,387 3,289
60 to 69 2,049 -1.79% 2,043 +3.92% 2,009 2,120
70+ 975 +26.6% 975 +37.09% 1,259 1,368

Median Household Income

The latest median household income for the 20171 zip code is $150,066.00.

In simple terms, the median income is the middle income of a group of people. Half of the people in the group make more than the median income, and half make less.

The median income is a good indicator of the overall income of a group of people, and can be used to compare against other metrics such as the average income, per capita income, and more.

Median Income by Age

We can also look at the median income by age to see how the median income varies by age, and how it compares to the overall median income for 20171.

  • Under 25
    $54,661.00
  • 25 to 44
    $130,222.00
  • 45 to 64
    $193,622.00
  • 65 and over
    $116,133.00

Average Household Income

Whenever we ask what is the average household income in the 20171 zip code, we are actually talking about the mean household income.

This is calculated by adding up all the incomes of all the households in 20171, and then dividing that number by the total number of households.

This is a good way to get a general idea of the average income of a group of people, but it can be skewed by a very high or very low incomes.

The average household income of 20171 is currently $185,717.00.

In terms of accurately summarizing income at a geographic level, the median income is a better metric than the average income because it isn't affected by a small number of very high or very low incomes.

If you had an area where the average income was greater than the median, it can mean that there is significant income inequality, with income being concentrated in a small number of wealthy households.

34.92% of households in 20171 are classed as high income households (making $200,000+ per year).

Household Income Tiers

The US Census Bureau divides households into income tiers based on the median income for the area. This is a good way to compare the income of 20171 against other zip codes.

  • Less than $24,999
    4.22%
  • $25,000 to $49,999
    7.19%
  • $50,000 to $74,999
    7.29%
  • $75,000 to $99,999
    9.61%
  • $100,000 to $149,999
    21.67%
  • $150,000 to $199,999
    15.11%
  • $200,000 or more
    34.92%

Per Capita Income

The per capita income in 20171 is $67,610.00.

Per capita income is the average income of a person in a given area. It is calculated by dividing the total income of 20171 by the total population of 20171.

This is different from the average or mean income because it includes and accounts for all people living in the 20171 area, including people like children, the elderly, unemployed people, retired people, and more.

Education Levels

We can also look at the education levels in 20171 to see how many people have a high school degree, a bachelor's degree, or a graduate degree.

Educational attainment is a good indicator of the overall education level of a population, and can be used to compare against other metrics such as the average income, per capita income, and more to see how education levels affect income, unemployment rates, and more.

  • Master's degree or higher
    37.83%
  • Bachelor's degree
    47.76%
  • Some college or associate's degree
    3.75%
  • High school diploma or equivalent
    9.63%
  • Less than high school diploma
    1.03%

Employment

Employment rates are all based around the total population in 20171 that are over the age of 16.

Currently, the total population of the 20171 zip over the age of 16 is 38,698.

Of those people, a total of 77.20% are working or actively looking for work. This is called the labor force participation rate.

The participation rate is a useful market measure because it shows the relative amount of labor resources available to the economy.

The employment to total population rate in 20171 is 74.30%.

Employment by Age

We can look at the employment rates by age to see how it compares to the overall employment rate. Here's how that breaks down for the 20171 zip code.

Age Population Participation Unemployment Rate
16 to 19 years 2,280 27.40% 6.40%
20 to 24 years 2,905 78.00% 10.50%
25 to 29 years 3,616 89.10% 6.20%
30 to 34 years 4,111 86.30% 1.60%
35 to 44 years 8,666 86.80% 1.50%
45 to 54 years 7,249 90.60% 1.10%
55 to 59 years 3,115 85.30% 3.60%
60 to 64 years 2,662 71.40% 1.10%
65 to 74 years 2,633 49.70% 4.70%
75 years and over 1,461 17.60% 0.00%

Employment by Race

Another very interesting employment statistic we can look at is the employment and unemployment rates by race in 20171. The table below shows the rates for each of the ethnicity groups types defined by the US Census Bureau (which we mentioned earlier in this article).

Age Population Participation Unemployment Rate
White 20,319 74.70% 3.00%
Black or African American 2,781 81.60% 1.20%
American Indian and Alaska Native 71 76.10% 0.00%
Asian 12,887 78.40% 2.90%
Native Hawaiian and Other Pacific Islander 125 100.00% 28.30%
Other 394 90.90% 0.00%
Two or more races 2,121 84.70% 5.20%
Hispanic or Latino 2,753 88.10% 8.90%
Not Hispanic or Latino 18,695 73.50% 2.20%

Occupations

In this section we can look at the most common occupations for people living in the 20171 area as well as the gender breakdown and earnings of them.

The total population of civilian employees that are 16 years old or older in 20171 is 28,736, with median earnings of $88,003.00.

Women in 20171 are earning approximately 59.20% of the men's earnings.

Population Earnings
Total 28,736 $88,003.00
Male 16,178 $107,641.00
Female 12,558 $63,706.00

Occupations by Category

In the table below, we can break down the population and earnings for 20171 even further by occupation. The list of occupation categories below will show you how many people are employed in each category and the median earnings of each profession.

Occupation Employed Earnings
Management 4,520 $145,658.00
Business and Financial 3,400 $101,031.00
Computer and Mathematical 6,572 $121,325.00
Architecture and Engineering 968 $110,429.00
Life, Physical, and Social Science 422 $137,240.00
Community and Social Service 243 $65,560.00
Legal 493 $138,365.00
Educational and Library 1,830 $33,721.00
Arts, Design, Entertainment, Sports, and Media 631 $43,098.00
Healthcare Practitioners 1,016 $79,394.00
Healthcare Support 315 $27,159.00
Firefighters and Protective Service 510 $50,089.00
Law Enforcement 216 $117,381.00
Food Preparation and Serving 923 $14,920.00
Building and Grounds Cleaning 258 $32,967.00
Personal Care and Service 408 $20,064.00
Sales 1,967 $35,765.00
Office and Administrative Support 2,587 $42,075.00
Farming, Fishing, and Forestry 26 $0.00
Construction and Extraction 222 $34,423.00
Installation, Maintenance, and Repair 170 $64,667.00
Production 240 $33,824.00
Transportation and Material Moving 588 $35,065.00

Occupations by Gender

Now we can also look at the occupations by category for 20171 when it is broken down by male and female.

This lets us see how many male and females work in each occupation, the median earnings, and the male to female ratio of earnings for 20171.

That last metric is important because it can be used to look at the gender pay gap between men and women.

Occupation Male Female
Population Earnings Population Earnings
Management 2,906 $160,529.00 1,614 $112,778.00
Business and Financial 1,698 $117,500.00 1,702 $89,303.00
Computer and Mathematical 4,727 $127,401.00 1,845 $106,735.00
Architecture and Engineering 790 $125,216.00 178 $92,903.00
Life, Physical, and Social Science 220 $153,333.00 202 $135,893.00
Community and Social Service 117 $44,844.00 126 $66,466.00
Legal 369 $157,863.00 124 $112,500.00
Educational and Library 499 $26,525.00 1,331 $41,853.00
Arts, Design, Entertainment, Sports, and Media 320 $46,667.00 311 $38,641.00
Healthcare Practitioners 225 $103,388.00 791 $78,371.00
Healthcare Support 53 $23,942.00 262 $36,111.00
Firefighters and Protective Service 326 $52,455.00 184 $3,406.00
Law Enforcement 182 $121,000.00 34 $106,771.00
Food Preparation and Serving 324 $32,857.00 599 $12,846.00
Building and Grounds Cleaning 152 $33,462.00 106 $32,863.00
Personal Care and Service 62 $34,286.00 346 $17,143.00
Sales 1,063 $44,801.00 904 $21,442.00
Office and Administrative Support 951 $65,082.00 1,636 $38,633.00
Farming, Fishing, and Forestry 26 $0.00 0 $0.00
Construction and Extraction 201 $34,519.00 21 $0.00
Installation, Maintenance, and Repair 170 $64,667.00 0 $0.00
Production 169 $34,669.00 71 $28,854.00
Transportation and Material Moving 497 $35,298.00 91 $30,083.00

Households and Family Size

A household is defined by the US Census Bureau as a group of people who occupy a housing unit. A housing unit is a house, apartment, mobile home, group of rooms, or single room occupied as separate living quarters.

There are currently 17,812 households in 20171, with an average household size of 2.81 people.

A family is defined as a group of two or more people related by birth, marriage, or adoption who live together in the same household.

There are 12,720 families living in the 20171 zip code with an average family size of 3.32 people.

Households by Marital Status

The four categories of household by marital status are:

  • Married-couple family
  • Male householder with no spouse present
  • Female household with no spouse present
  • Nonfamily household

The table below shows the total number of households and families, with the average sizes of each, that live in 20171:

Married Male Female Nonfamily
Total Households 11,323 431 966 5,092
Average Household Size 3.39 2.53 3.53 1.41
Total Families 11,323 431 966 0
Average Household Size 3.36 2.33 3.3 0

Poverty

Of the 12,720 families living in 20171, 2.70% are considered to be below the poverty threshold.

The table below shows the latest poverty thresholds in 20171:

Household Size Poverty Threshold
1 Person $14,580.00
2 People $19,720.00
3 People $24,860.00
4 People $30,000.00
5 People $35,140.00
6 People $40,280.00
7 People $45,420.00
8 People $50,560.00

Housing

There are 18,313 housing units in 20171.

The table below shows the split between occupied and vacant units:

Total Percentage
Occupied 17,812 97.26%
Vacant 501 2.74%

40.60% of the total 18,313 housing units in 20171 are rental units. This is approximately 7,435 properties.

For owner-occupied housing units, a total of 10,331 are occupied by the owner - or 56.41% of the total.

Rental Rates

The median rent for a property in 20171 is $2,025.00.

In the chart below, we can look at the number of rental properties in 20171 that fall into a particular rent range. These can then be used to compare with other areas, or to see how they have changed over time.

  • No rent paid
    46
  • Less than $500
    55
  • $500 to $999
    66
  • $1,000 to $1,499
    422
  • $1,500 to $1,999
    3,037
  • $2,000 to $2,499
    2,713
  • $2,500 to $2,999
    873
  • $3,000 or more
    269

Property Value

The median value of a property in 20171 is $650,900.00.

Just like with rental rates, we can look at the number of properties in 20171 that fall into a particular value range.

  • Less than $50,000
    70
  • $50,000 to $99,999
    31
  • $100,000 to $149,999
    34
  • $150,000 to $199,999
    12
  • $200,000 to $299,999
    236
  • $300,000 to $499,999
    1,763
  • $500,000 to $999,999
    7,391
  • $1,000,000 or more
    794

Property Age

We can also look at the age of properties in 20171. The chart below shows the number of properties in 20171 that fall into a particular age range.

  • 1939 or earlier
    44
  • 1940 to 1949
    35
  • 1950 to 1959
    61
  • 1960 to 1969
    98
  • 1970 to 1979
    2,026
  • 1980 to 1989
    4,277
  • 1990 to 1999
    5,190
  • 2000 to 2009
    4,134
  • 2010 to 2013
    2,378
  • 2014 or later
    70

Vehicles per Household

The number of vehicles available per household can be a good indicator of the level of affluence in an area. The chart below shows the number of households in 20171 that have a particular number of vehicles available.

  • No vehicles available
    422
  • 1 vehicle available
    5,888
  • 2 vehicles available
    7,662
  • 3 or more vehicles available
    3,840

Commuting to Work

In this section, we can also look at how people in 20171 get to work. The chart below shows the number of people in 20171 that commute to work in a particular way.

27.7 minutes is the average travel time to work for people in 20171.

These commute times can be compared to other date like income and educational levels to see how they relate to each other and if there are any trends in the data that might suggest a correlation.

  • Less than 5 minutes
    375
  • 5 to 9 minutes
    1,496
  • 10 to 14 minutes
    3,248
  • 15 to 19 minutes
    3,857
  • 20 to 24 minutes
    3,098
  • 25 to 29 minutes
    1,260
  • 30 to 34 minutes
    2,704
  • 35 to 39 minutes
    738
  • 40 to 44 minutes
    984
  • 45 to 59 minutes
    2,098
  • 60 to 89 minutes
    1,785
  • 90 or more minutes
    593

Summary

We've covered a LOT of demographic and population data for 20171 in this article! Hopefully you have found it very useful in your research of the area.

If you use any of the data found on this page, please consider linking back to USPopulation.org as the source and if you have any feedback or data requests, click here to contact us.

States in 20171

If you want to see how the population and demographics of 20171 compare to other zip codes in Virginia, check out the list of all Virginia zip codes below: