Skip to main content
USAvizUSAviz

Local data snapshots and weekly insights for every place in America.

Explore

  • Insights
  • Search
  • Browse states
  • Browse metros

Company

  • About
  • Methodology
  • Sources
  • Embed Our Data
  • Contact
Privacy·Terms·Do Not Sell or Share

© 2026 USAviz.com. All rights reserved.

USAvizUSAviz
Insights
About
Home
77459
  1. Home
  2. ZIP Codes
  3. ZIP Code 77459
Texas (TX)Fort Bend CountyHouston-Pasadena-The Woodlands281346713832

ZIP Code 77459 — Missouri City, TX

Fort Bend County * Houston-Pasadena-The Woodlands metro

Compare

84.2K

Population

$129.2K

Median income

per household

$386.9K

Home value

5.8%

Poverty rate

What stands out

  • Median household income: $129.2K (top 10% vs US ZIP codes).
  • Median home value: $386.9K (top quartile vs US ZIP codes).
  • Poverty rate: 5.8% (low poverty; bottom quartile vs US ZIP codes).

Categories vs U.S.

Economy

5 of 5 metrics better than U.S. benchmarks

Rental strain: 62.9% of renter households are rent-burdened (≥30% of income).

Median household income

$129.2K

U.S.

$81K

Per-capita income

$53.2K

U.S.

$45K

Median home value

$386.9K

U.S.

$333K

Housing stress

Rent-burdened renters (≥30%)

62.9%

U.S.

51.1%

Severely rent-burdened (≥50%)

24.7%

U.S.

25.9%

Affordability Ratios

Rent-to-Income

18.5%

Below 30% threshold

Home-Value-to-Income

3.0×

Within typical 3-5x range

Income distribution

Share of households by income bracket (ACS).

< $50k
15.7%
$50–100k
21.6%
$100–200k
36.9%
$200k+
25.7%

Health

4 of 6 available metrics better than U.S.

CDC PLACES modeled ZCTA-level estimates (adult prevalence).

Obesity

28.9%

U.S.

33.3%

Diabetes

12.0%

U.S.

12.0%

Current smoking

9.0%

U.S.

13.1%

Connectivity

3 of 3 metrics better than U.S.

Best available speed

1,000Mbps

Gigabit speeds reported

100+ Mbps coverage

89.9%

U.S.

85.3%

Gigabit ready

49.0%

U.S.

8.6%

5G available

98.5%

U.S.

77.4%

Learning

Education metrics come from ACS 5-year estimates for ZIP Code Tabulation Areas (ZCTAs).

Bachelor's degree+ (age 25+)

56.6%

U.S.

35.7%

A high share of adults with a bachelor's degree or higher often correlates with higher-paying jobs and knowledge-economy industries.

ZIP-level estimates can have higher margins of error than county/state totals; treat small differences as noise.

School districts

Fort Bend Independent School District

Map

ZIP 77459

Missouri City, TX

Population

84.2K

Area

31.2 sq mi

Density

2.7K/sq mi

Neighbors

7746977477774787747977481774897754577583
More Details

Census Tracts

12 tracts overlap this ZIP. Hover over segments to explore.

13%
13%
11%
9%
9%
+7

Tract 6745.06

13.2%

Tract 6745.04

12.6%

Tract 6745.07

11.4%

Tract 6709.03

9%

Tract 6745.03

8.6%

Others (7)

38.6%

Total tracts: 12Coverage: 93.4%

Representation

U.S. House

ZIP codes can span multiple congressional districts. Overlap percentages are approximate by land area. Verify by address.

64%
36%

TX-22

64%

TX-9

36%

Districts: 2Coverage: 100.0%

Data freshness

ACS 5-Year
2020–2024
CDC PLACES
2025
Broadband
2020-12
Mobile
2025-11-24
Page Updated
2026-02-23

Release schedule and upstream dates: Sources.

Data sources

US Census Bureau (ACS 5-year)HUD USPS ZIP crosswalkUS Census TIGER/Line (geometry inputs)US Census TIGER/Line (school districts)US Census Bureau (ZCTA-to-tract relationship, 2020)US Census Bureau (2020 ZCTA-to-congressional-district relationship file, CD119)CDC PLACES (ZCTA)FCC (Form 477 broadband)FCC (Mobile Broadband Data Collection)

Derived statistics

  • ZIP pages use Census ZIP Code Tabulation Areas (ZCTAs), not USPS delivery routes.
  • Population density is computed as population ÷ land area.
  • Overlap percentages (tracts and districts) are derived from map geometry and are approximate.

Data accuracy & methodology

ZIP pages combine 2020–2024 ACS 5-year ZCTA estimates with other public datasets when available (see Sources). Connectivity metrics use FCC coverage data, not ACS. ZIP-level estimates can have higher margins of error than county/state totals; treat small differences as statistical noise rather than precise changes.