Municipal Intelligence Platform · Demo Report
Maplewood County, CO
Comprehensive Socioeconomic Analysis — ACS 2022 · 35 Census Tracts
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vs. Colorado Statewide
Median Income
Poverty Rate
Home Value
Median Rent
3:1
income ratio
Highest-income tracts earn 3× more than the lowest. The county median masks extreme geographic inequality.
64%
multi-family permit drop
Units authorized for 5+ family buildings fell 64% from the 2019 peak while rents rose 19%.
$43M
in matched federal grants
8 programs matched to this county's profile. Many require no local match.
Q4 2025 Update
·Refreshes automatically each quarter
Median Household Income
+$1,240
vs. Q3 2025
Poverty Rate
+0.3 pts
Trend worsening
Multi-Family Permits (YTD)
−18 units
vs. Q3 2025
PM₂.₅ County Avg
−0.3 µg/m³
Air quality improving
Grants Matched
+2 programs
New this quarter
Section 1 — County Snapshot
Key Indicators
A full-spectrum view of Maplewood County, CO across demographics, housing, employment, environment, and health — all pulled automatically from authoritative sources.
Sources: ACS 5-Year, BEA, BLS, Zillow, CMS, IPEDS · See full methodology ↓
| Category | Indicator | Value |
|---|---|---|
| Demographics | Total Population | 77,909 |
| Median Household Income | $75,424 | |
| Poverty Rate | 15.4% | |
| Employment | Labor Force | 37,293 |
| Unemployment Rate | 5.5% | |
| Economic Output | Per Capita Income (BEA) | $41,800 |
| County GDP | $4.2B |
Recommended Next Steps
- 1Compare tract-level income and poverty against neighboring counties to establish a benchmark before the next budget cycle.
- 2Request a CMS deep-dive on hospital access gaps — the star rating masks geographic access issues not visible at the county level.
Section 2 — Geographic Analysis
The Hidden Divide
The county's median household income varies by more than 3:1 across its 35 Census tracts. Toggle between metrics to see how income, poverty, air quality, and housing costs overlap — and where pressures compound. Click any tract for a full data popup.
Sources: ACS 5-Year, OpenAQ, EPA ECHO · See full methodology ↓
Recommended Next Steps
- 1Center the next council briefing around the eastern corridor — that's where poverty, unemployment, and air burden overlap most severely.
- 2Use the tract-level map as the backbone for your next HUD Consolidated Plan needs assessment.
Section 3 — Environmental Justice
Industrial Burden, Unequal Exposure
Eastern tracts carry the county's 47 regulated facilities and its worst air quality. The correlation between poverty rate and PM₂.₅ concentration (r ≈ 0.85) is one of the strongest signals in the dataset — and one of the most actionable for federal grant eligibility.
Sources: ACS 5-Year, OpenAQ, EPA ECHO · See full methodology ↓
PM₂.₅ ↔ Poverty
r = 0.828
Strong positive correlation — poverty and air pollution move together across tracts
PM₂.₅ ↔ Income
r = -0.858
Strong negative correlation — higher-income tracts have substantially cleaner air
PM₂.₅ vs. Poverty Rate by Tract
Sources: ACS 5-Year Estimates (poverty) · OpenAQ annual averages (PM₂.₅)
Recommended Next Steps
- 1The poverty–PM₂.₅ correlation (r ≈ 0.85) pre-qualifies eastern tracts for EPA EJ Collaborative Problem-Solving grants — no additional screening required.
- 2Commission an air monitor expansion in the 5 highest-burden tracts. Current data is county-level; tract-level readings would materially strengthen future grant applications.
Section 4 — Housing Affordability
Rising Costs, Constrained Supply
Multi-family permit authorizations fell 64% from the 2019 peak while Zillow home values rose 31% and rents increased 19% over the same period. The county is not building enough housing to accommodate demand — particularly in affordable units.
Sources: Census Building Permits Survey, Zillow ZHVI/ZORI, ACS 5-Year · See full methodology ↓
Annual Housing Permits by Unit Type
5+ unit permits ↓64% from 2019 peakSource: Census Building Permits Survey (BPS)
Zillow Home Value Index (Annual)
Zillow Observed Rent Index (Annual)
Source: Zillow Research Data (ZHVI = typical home value; ZORI = observed market rent)
Recommended Next Steps
- 1Revisit multi-family zoning along transit corridors in central and eastern tracts — the permit data shows exactly where authorized density has collapsed.
- 2Implement expedited permitting for 5+ unit projects to directly address the affordable unit shortfall.
Section 5 — Economic Trends
Growth That Isn't Reaching Everyone
Indexed to 2015, home values have appreciated 66% while household incomes grew only 17% — a structural affordability gap. The county's poverty rate has crept upward over the same period, driven by cost pressures in lower-income eastern tracts.
Sources: ACS 5-Year, Zillow ZHVI/ZORI, BEA · See full methodology ↓
Indexed to 2015 = 100
Income vs. Housing Costs (2015–2022)
Sources: ACS 5-Year Estimates (income, rent) · Zillow ZHVI (home value)
Poverty Rate Trend (2015–2022)
Source: ACS 5-Year Estimates · Tract-level aggregation using NHGIS crosswalk
Recommended Next Steps
- 1The 66% home value / 17% income divergence is the core eligibility signal for CDBG applications — document it formally in your next HUD submission.
- 2Consider a local preference policy requiring affordable units in all new residential developments above 10 units.
Section 6 — Workforce
A Labor Market Still Recovering
The county's official unemployment rate hit 3.4% in 2019 before the pandemic drove it to 7.8% in 2020. By 2022 it had settled at 5.5% — above pre-COVID levels. BLS LAUS data tracks all covered workers, capturing dynamics that ACS tract estimates miss.
Sources: BLS Local Area Unemployment Statistics (LAUS) · See full methodology ↓
Labor Force (2022)
37,600
+1,100 since 2015
Employed (2022)
35,530
5.5% unemployment
COVID Peak (2020)
7.8%
2,892 unemployed
vs. Pre-COVID (2019)
+2.1 pts
2019 rate: 3.4%
County Unemployment Rate (2015–2022)
Source: BLS Local Area Unemployment Statistics (LAUS) · Annual averages
By Zone
West Zone
Central Zone
East Zone
Unemployment Rate by Zone (2015–2022)
The east zone's rate is consistently 2–3× the west — a gap that COVID amplified and recovery has not closed.
Source: ACS 5-Year tract estimates aggregated by zone · BLS LAUS (county total)
Labor Force & Employment (2015–2022)
Source: BLS Local Area Unemployment Statistics (LAUS) · Annual averages
Recommended Next Steps
- 1The gap between the 2019 low (3.4%) and 2022 rate (5.5%) signals lingering structural unemployment — not just cyclical recovery. EDA Public Works grants specifically target counties with persistent elevated unemployment.
- 2Layer LAUS unemployment data with eastern-corridor poverty rates to build the distress composite required for EDA grant pre-qualification documentation.
Section 7 — Industry & Employment
Healthcare Dominates; Wages Tell a Different Story
Health Care & Social Assistance is the county's largest employer with 5,480 covered jobs. But Information workers earn the highest wages at $75,400 per year — a 3:1 gap versus Accommodation & Food Services. The 30,380 total covered jobs span 15 NAICS sectors tracked quarterly.
Sources: BLS QCEW · Census County Business Patterns (CBP) · See full methodology ↓
Avg Monthly Employment by Sector — 2022
Source: BLS Quarterly Census of Employment and Wages (QCEW) · 2022 annual average
By Zone
County-level totals mask sharp geographic specialization. Professional services and finance concentrate in the west, health care and retail anchor the central zone, and manufacturing with transportation dominate the east.
West Zone
Dominant: Professional & Technical Services
27% of zone jobs
15% of zone jobs
16% of zone jobs
9% of zone jobs
10% of zone jobs
Central Zone
Dominant: Health Care & Social Assistance
22% of zone jobs
17% of zone jobs
13% of zone jobs
9% of zone jobs
9% of zone jobs
East Zone
Dominant: Manufacturing
22% of zone jobs
18% of zone jobs
13% of zone jobs
12% of zone jobs
10% of zone jobs
Employment Trends — Top 5 Sectors (2015–2022)
Health care leads and grew steadily; accommodation collapsed in 2020 and recovered by 2022.
Source: BLS Quarterly Census of Employment and Wages (QCEW)
Recommended Next Steps
- 1The wage gap between professional services ($1,380/wk) and accommodation & food ($430/wk) is the county's sharpest economic divide — targeted workforce training in high-wage sectors has direct impact on median household income.
- 2Health care's steady employment growth (2015–2022) and high establishment count make it the anchor for economic base analysis — use QCEW establishment data to identify gaps in specialty care coverage for the next HRSA grant cycle.
Section 8 — Economic Output
GDP Up 27%, Incomes Up 19% — Since 2015
County GDP reached $4.18B in 2022, growing 27% since 2015. Per-capita personal income grew 19% over the same period. BEA personal income includes transfer payments and investment income — a fuller picture of county wealth than ACS household income alone.
Sources: BEA Regional Economic Accounts — CA1, CA5, CA30 · See full methodology ↓
County GDP (2022)
$4.18B
+27% since 2015
Personal Income (2022)
$3.26B
Incl. transfers & investment
Per-Capita Income (2022)
$41,800
+19% since 2015
Population (2022)
77,909
+3,209 since 2015
By Zone
West Zone
37.7% of county economic output
Central Zone
45.7% of county economic output
East Zone
16.6% of county economic output
Recommended Next Steps
- 1GDP growth (27%) outpaced per-capita income growth (19%) — a structural signal that output gains are not being distributed broadly. This divergence directly supports CDBG low-to-moderate income benefit documentation.
- 2BEA personal income includes transfer payments (Social Security, SNAP, Medicaid) — higher-than-expected transfer share in eastern tracts is an early warning signal for benefit cliff analysis in workforce development planning.
Section 9 — Zone Analysis
Three Counties Within One
Tract-level analysis reveals three demographically distinct zones. Western foothills tracts (29% of population) have median incomes 2.4× the eastern corridor. The radar profile shows how comprehensively different each zone's outcomes are — and why targeted interventions outperform county-wide averages.
Sources: ACS 5-Year, OpenAQ · See full methodology ↓
West Zone
Central Zone
East Zone
Zone Strength Profile
Score 0–100 where 100 = strongest outcome within county. Each axis is normalized to show relative performance across zones.
Zone-by-Zone Comparisons
Avg Income
Poverty %
PM₂.₅
Unemployment %
Labor Force Participation
Share of working-age population actively employed or seeking work
Avg Sector Wage
Weighted average weekly wage across top 5 sectors (QCEW 2022)
GDP Share vs. Population Share
East generates far less output than its population share suggests
Recommended Next Steps
- 1Design programs at the zone level rather than county-wide — county averages mask the full scale of the east-west divide and dilute targeting.
- 2Use western foothills tracts as an internal control group when evaluating the effectiveness of interventions in eastern tracts.
Section 10 — Grant Opportunity Analysis
$43M in Federal Dollars You Could Be Accessing
Based on Maplewood County, CO's poverty rate, housing cost burden, air quality indicators, and Brownfield locations, the county appears eligible for 8 competitive grant programs. Each is matched to specific data signals from this analysis.
Sources: ACS 5-Year, OpenAQ, EPA ECHO, Grants.gov · See full methodology ↓
8 programs identified · $43M combined maximum awards
High — county poverty rate qualifies; east-zone LMI tracts eligible for housing rehabilitation and infrastructure
High — eastern tracts exceed PM2.5 NAAQS; 28 regulated facilities create clear EJ eligibility
High — median rent-to-income 31% countywide; east zone 40% → severe cost burden; affordable rental construction eligible
Medium — eastern industrial corridor road/freight infrastructure upgrades eligible
Medium — low-income households in east zone qualify; reduces energy burden and indoor PM2.5
Medium — eastern corridor unemployment (8.2%) exceeds EDA distress thresholds; industrial redevelopment eligible
High — 8 hazardous waste sites in eastern corridor; assessment grants fund remedial investigation
Medium — poverty-concentrated east-zone tracts have elevated behavioral health service needs
Grant opportunities are matched based on county profile (poverty rate, housing cost burden, PM₂.₅ levels, Brownfield sites). Award amounts and deadlines are illustrative for this demo.
Recommended Next Steps
- 1Prioritize the three programs with no local match requirement — they represent the most accessible near-term funding with the lowest administrative barrier.
- 2Schedule pre-application conversations with HUD and EPA program officers before the next federal fiscal year cycle to confirm eligibility.
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