Our people. Our work. Our next five years.

The Workforce Plan for Hamilton County

Hamilton County has one of the strongest labor markets in America. Unemployment sits at 2.2 percent. Median household income is $127,452. We rank fourth among all 292 large U.S. counties on quality of life. And none of that is the whole story. This page is the whole story: what is working, what is not, the eight gaps we have to close between now and 2030, and the exact numbers we will use to hold ourselves accountable. No jargon. Every number sourced. Every report downloadable.

Start where you stand

Different people come to a workforce plan with different questions. Here is what this page answers for you, and what to bring to us when you are ready to act.

🏛️ Elected officials & city staff

Is my city gaining or losing ground? Are the county's goals actually on track? Which barriers are holding my constituents back, and which levers sit in my budget?

Your city's numbers under Our Communities. Every county goal with an honest on-track, ahead, or behind label under Goals. The barriers that show up in constituent casework, childcare, housing, transportation, quantified under the Gaps.

Bring this to us

Ask for your city's quarterly briefing. Every KPI on this page disaggregates by city.

🏢 Employers

Can I find the people I need here? Why does hiring feel harder every year? Is it pay, pipeline, or something structural? Who do I actually call?

Find your business among the nine employer types under Stories; each one names the real mechanism behind your shortage and the lever that moves it. Time-to-fill and turnover live under What We Track.

Bring this to us

A business retention visit is free. Bring your hardest-to-fill role and we will bring the data on it.

🤝 Local funders & philanthropy

Where is the biggest quantified need? What would a dollar actually move? Will anyone measure what happened after the grant?

Each of the eight gaps carries its baseline number and the single indicator we watch, so an investment thesis and its yardstick come pre-built. The equity lens under What We Track says exactly how outcomes get disaggregated.

Bring this to us

Pick a gap. The baseline, the indicator, and the reporting cadence already exist; co-design the intervention with us.

🎓 Universities & higher education

Is there enrollable demand here? Which programs would fill? Is there a partner infrastructure, or would we be building alone?

The inverted skills gap is your market signal: demand for sub-baccalaureate credentials outruns supply 1.43 to 1, and Talent InSight 2030 documented thousands of high-wage pathway postings with zero local providers. Nursing shows the shape: one hospital posted 746 openings in a year against 376 local seats. IU already runs a management-development partnership here; the model works.

Bring this to us

Name a program you could deliver. We will run the demand analysis against real county postings, wages, and pipeline before you commit a dollar.

💙 Nonprofits & service providers

Which barriers actually block work for the people we serve? Where does our mission plug into the county's plan? Will data be shared responsibly?

The gaps on childcare, housing, behavioral health, and opportunity-population inclusion are your service map, each with the population size behind it. The resident stories show the eight situations we designed around. Our data ethics are simple: aggregate-only, person-first, never a judgment score on a human being.

Bring this to us

Your program data plus our baseline data equals a fundable, measurable proposal. We build those with partners for free.

🎒 K-12 districts

Which careers should our students actually see? What does the local labor market reward five years after graduation? How do we build work-based learning without becoming a staffing agency?

The occupation stories show where demand, wages, and succession openings really sit, including the retirement wave arriving in the trades, schools, and healthcare just as your students graduate. The Hamilton Pathways Lab is the county's shared work-based-learning research effort with all six school corporations.

Bring this to us

The Pathways Lab is free and district-governed. Bring your CTE course list; we crosswalk it to live county demand.

🚀 National funders & researchers

Is this community pilot-ready? Is the evidence discipline real or decorative? Could what works here replicate somewhere else?

Every claim in this plan was tested before it earned a place: eight challenges, each with a published verdict, including one confirmed in the opposite direction we expected. Baselines are pre-set, the KPI board already tracks them, and five years of published research sits in the library below. The data infrastructure behind this page runs on public federal sources any county has, which is what makes a pilot here replicable anywhere.

Bring this to us

Pick the gap that matches your thesis. You get a named baseline, a tracked indicator, and a community that publishes its misses as plainly as its wins.

Where we stand

Start with the honest baseline. These are the numbers that describe our county today, from federal sources anyone can check.

379,704
Residents
Census ACS 1-year, 2024
205,740
Employed residents
BLS LAUS, Apr 2026
168,604
Jobs located in the county
BLS QCEW, Q4 2025
2.2%
Unemployment rate
BLS LAUS, Apr 2026
$127,452
Median household income
FRED, 2024
61.8%
Adults with a bachelor's or higher
Census ACS 5-year
#4 of 292
Quality of life among large U.S. counties
IHC National Benchmark Index
The plain-language version

Here is the part most people miss: at 2.2 percent unemployment, there is no reserve of idle workers to hire. Labor supply is the binding constraint on everything this county wants to do next. So this plan is not about finding more people. It is about removing the barriers that keep our own people from working, growing, and staying.

“When people ask me what makes Hamilton County different, I usually start with a story. Lately I start with a number. Four. That is where we rank among all 292 large counties in America on quality of life. But a ranking is not a plan. A plan says out loud what could take that strength away, and what we intend to do about it. That is what this is.”

Mike Thibideau, President & CEO, Invest Hamilton County

Two findings that change the plan

Before the pillars and the programs, two research findings reset how this county has to think about its workforce.

Finding 1

The amplifier chain

Hamilton County's asymmetric risk is AI-driven compression of knowledge work, not factory automation. An exposure-tilted job base (27.2 percent vs 25.4 percent US on the same tier), plus the most degree-saturated resident workforce in Indiana (61.8 percent bachelor's or higher vs about 36 percent of US adults), plus 80,900 residents commuting to Marion County jobs in an economy the county does not govern. Each link amplifies the next. Direction confirmed; the margin is method-sensitive and disclosed.

Finding 2

The inverted skills gap

There is no degree gap. 54.6 percent of stated posting demand is sub-baccalaureate against a 38.2 percent sub-baccalaureate adult population, a demand-to-supply ratio of 1.43 that deepens every year. The most-posted qualifications are licenses and certifications, not degrees. Employers who require degrees enjoy a deep bench; employers who need certified technicians, nurses, and drivers compete for a shrinking relative pool.

The five pillars

Everything Invest Hamilton County does hangs on five pillars. Every gap in this plan maps to at least one of them.

Pillar 1

Full Employment & Public Safety

Everyone who can work, works. That includes neighbors returning from incarceration and neighbors in recovery, because employment is the single strongest predictor of staying out of the justice system.

One number that says why: Residents who are employed after release return to incarceration at 16 percent. Unemployed, it is 52 percent.

How we act on it: Re-Entry Workforce Initiative, InvestOnward
Pillar 2

Community-Essential Workforce

The people who make a community run: childcare workers, teachers' aides, nurses' aides, hospitality and retail staff. If they cannot afford to work here or live here, everything else gets harder.

One number that says why: Four of our nine employer types fail on the same $28,000 to $36,000 wage floor, competing for the same workers.

How we act on it: Childcare Expansion, employer playbooks, wage-floor research
Pillar 3

Career Mobility & Discovery Systems

Every resident should be able to see their next step: the next rung, what it pays, and who will hire them when they get there. From middle school to mid-career.

One number that says why: Only 20.2 percent of county jobs today clear the bar of high wage, growing, and hiring. The goal is 60 percent alignment by August 2027.

How we act on it: Hamilton Pathways Lab, InvestAbility, The Pursuit Institute, Career Ladder Network
Pillar 4

Workplace Excellence

Keeping good people is cheaper than replacing them. We help employers build workplaces people do not want to leave, starting with the first-time manager.

One number that says why: Quarterly turnover runs 9.8 percent. Manager quality is the top controllable driver employers name.

How we act on it: Manager Development Lab with IU, culture and retention services
Pillar 5

Data Hub & Organizational Development

You cannot fix what you do not measure. Alex, our data hub, turns more than 11,000 curated data files into answers anyone can use. This page is one of them.

One number that says why: Every number on this page traces to a named public source and a named vintage.

How we act on it: Alex, the Hamilton County Data Hub; this dashboard

Our communities

One county, four cities, three towns, and two rural data bands so small numbers still count. Population estimates are Census Vintage 2025.

Carmel 105,634 residents

Growth since 2020
5.9%

Corporate headquarters and professional services. The county's largest concentration of office and finance work, which also makes it the front line of the AI exposure question.

What we watch here: AI compression of office roles; keeping headquarters talent as work models shift.

Fishers 104,812 residents

Growth since 2020
5.8%

The entrepreneurial anchor. Launch Fishers, a growing life-sciences cluster, and a young, fast-moving employer base.

What we watch here: Scaling the specialized technician pipeline that life sciences will need.

Noblesville 76,111 residents

Growth since 2020
8.9%

The county seat and the first city with its own cut of this plan. Home to Riverview Health, the logistics corridor, and the county's workforce hub: WorkOne, Ivy Tech, and the Excel Center at 300 N. 17th Street.

What we watch here: Healthcare pipeline depth and warehouse-agency churn.

Westfield 66,258 residents

Growth since 2020
42.7%

The fastest-growing city in Indiana for much of this decade. Grand Park makes hospitality and events a signature industry, with Life Ready youth programs building the pipeline.

What we watch here: A hospitality wage floor that competes with every other service employer in the county.

Sheridan 5,746 residents

Growth since 2020
10.2%

The county's rural north: agriculture, trades, and a proud small-town school system.

What we watch here: Access. County programs have to reach here, not just exist.

Cicero 5,581 residents

Growth since 2020
5.2%

Lakeside small town anchored by Morse Reservoir, with trades and manufacturing ties to the corridor.

What we watch here: Same as the rural north generally: transportation to jobs and training.

Atlanta 731 residents

Growth since 2020
2.8%

The county's smallest town, and part of its agricultural backbone.

What we watch here: Tracked in our rural-north data band so small numbers still count.

County-wide goals

A plan without numbers is a wish. These are the county's stated goals, where we actually stand against each one, and we say so plainly when we are behind.

the headline goal

Aligned-jobs share

Of the roughly 191,500 jobs in our county's job universe, only 1 in 5 today pays at least $70,000, is growing, and is actually hiring. The county goal is to make that 6 in 10 by August 2027. That is the single most ambitious number in this plan, and we publish our distance from it every quarter.

Now:
20.2%
Target:
60.0% by Aug 2027
Detail:
38,764 of 191,500 county jobs today; gap of 76,136 workers
Lightcast Q1 2026 occupation snapshot; Indiana Healthy Communities goal
on track

Population growth to 2030

The county planned for roughly 420,000 residents by 2030. We are at 387,036 and growing on schedule.

Now:
387,036 (2025)
Target:
~420,000 by 2030
Census PEP Vintage 2025; Talent InSight 2030
behind forecast

Job growth

The 2030 forecast called for about 7,000 new jobs a year. We are adding closer to 3,200. Strong, but behind the forecast, and worth saying plainly.

Now:
184,030 jobs (2024 actual)
Target:
194,677 forecast for 2024
BLS QCEW; Talent InSight 2030
ahead of forecast

Labor force participation

More of our adults are working or looking for work than the plan assumed. We rank 15th of 292 large counties.

Now:
72.1%
Target:
71.5% forecast
Census ACS; Talent InSight 2030
narrowing, behind pace

The commuter gap

The plan projected commuting in and commuting out would roughly balance by 2030. The gap is narrowing slower than forecast: 13,933 more workers leave than arrive each day.

Now:
13,933 net outbound (2024)
Target:
~net zero by 2030
Census LEHD LODES; Talent InSight 2030

How we compare across America

We do not grade ourselves against the average. We grade ourselves against the best suburban counties in America: the Nashville, Washington, Denver, Dallas, Atlanta, Kansas City, Philadelphia, and Austin suburbs that compete for the same employers and the same families. Four of them rank ahead of us. Eight are chasing us. Here is the honest scoreboard.

Hamilton County compared with 12 peer counties
County Peer type Population Quality of life rank Median household income Workforce score Growth score
Hamilton, Indiana (us) home 379,704 #4 $117,957 82.5 89.1
Williamson, Tennessee aspirational 269,136 #1 $131,202 93.0 89.8
Loudoun, Virginia aspirational 443,380 #2 $178,707 91.6 83.9
Douglas, Colorado aspirational 393,995 #3 $145,737 86.5 83.2
Collin, Texas aspirational 1,254,658 #5 $117,588 74.9 97.9
Forsyth, Georgia similar 280,096 #7 $138,000 76.1 88.6
Johnson, Kansas similar 632,276 #9 $107,261 87.2 59.9
Chester, Pennsylvania similar 560,745 #11 $123,041 90.9 43.1
Williamson, Texas similar 727,480 #12 $108,309 71.6 98.9
Washington, Minnesota similar 283,960 #14 $114,457 69.5 78.8
Dakota, Minnesota regional 453,156 #40 $105,212 80.6 31.8
DuPage, Illinois regional 937,142 #45 $110,502 73.2 34.3
Waukesha, Wisconsin regional 417,029 #44 $104,100 78.5 35.2

292 U.S. counties with 250,000+ residents, scored across 10 domains. Peer set curated for comparability; every metric from the same national index so no county gets a thumb on the scale.

The eight gaps between now and 2030

Each of these was tested against the data before it earned a place here. Some were confirmed. One was confirmed in the opposite direction everyone assumed. For each: what it is in plain language, why you should care, which pillars answer it, and the one number we watch.

A

AI and automation exposure of knowledge work (Direction confirmed)

More of our jobs sit in the office, finance, tech, legal, and media work that AI reaches first: 27.2 percent here versus 25.4 percent nationally.

This is not a factory-automation story. It is a knowledge-work story, and we are more exposed than the average county precisely because our economy is more white-collar. The earliest edge is already visible: customer service representative jobs are down 6.1 percent since 2019.

Pillar 3: Career Mobility & Discovery SystemsPillar 5: Data Hub & Organizational Development
The number we watch: High-exposure occupation headcount, with customer service representatives as the bellwether
B

Skills gap and reskilling capacity (Confirmed, inverted)

There is no degree shortage here. The gap runs the other way: 54.6 percent of local job postings that state a requirement ask for less than a bachelor's degree, but only 38.2 percent of our adults fit that profile.

We built the most degree-saturated workforce in Indiana and a job base that increasingly needs technicians, tradespeople, and licensed middle-skill workers. Demand outruns supply 1.43 to 1, and the ratio deepens every year.

Pillar 3: Career Mobility & Discovery SystemsPillar 2: Community-Essential Workforce
The number we watch: Sub-baccalaureate demand-to-supply ratio (baseline 1.43)
C

Childcare access as a labor-force constraint (Confirmed)

For every 100 young children whose parents all work, we have 80 licensed childcare slots.

Roughly 18,300 children under six need care and 14,702 licensed slots exist. Every missing slot is a parent who cannot take a job, a shift, or a promotion. Infant care runs about 12.5 percent of even our high median household income.

Pillar 2: Community-Essential WorkforcePillar 1: Full Employment & Public Safety
The number we watch: Licensed capacity per under-6 child in need (baseline 0.80)
D

Housing affordability for the workforce (Confirmed)

The people who staff our schools, hospitals, restaurants, and stores are increasingly priced out of living here. Home prices are up 63.7 percent since 2019.

The median worker in every in-county service occupation we tested cannot buy the median Hamilton County home on a single income. Among moderate-income renters, 60.6 percent spend more than they can afford on rent.

Pillar 2: Community-Essential Workforce
The number we watch: Renter cost burden at 50 to 80 percent of area median income (baseline 60.6 percent)
E

Aging workforce, retirements, succession (Partially confirmed)

About one in five workers in Hamilton County jobs is already 55 or older, and roughly 45,000 residents aged 55 to 64 cross retirement age within the decade.

That is a succession clock, not a cliff. It means about 3,800 retirement-replacement hires a year, concentrated in the trades, education, healthcare, and government. The question is whether the pipeline behind them is deep enough.

Pillar 4: Workplace ExcellencePillar 3: Career Mobility & Discovery Systems
The number we watch: Share of in-county jobs held by workers 55 and older (baseline 21.4 percent)
F

Behavioral health and burnout as a workforce drag (Confirmed)

Nearly one in four adults here is experiencing depression, and behavioral health crisis events have more than tripled since 2017.

These are not numbers from a struggling community. These are numbers from ours. More than half of 2024's 21,432 crisis events involved working-age adults, which makes behavioral health a workforce issue, not just a health issue. We remain a federally designated mental health shortage area.

Pillar 4: Workplace ExcellencePillar 1: Full Employment & Public Safety
The number we watch: Working-age mental health crisis events (11,520 of 21,432 in 2024)
G

Talent retention vs commute-out dependence (Confirmed, two-way)

64.3 percent of our employed residents work outside the county, and 62.2 percent of the jobs inside our county are filled by people driving in.

We are a two-way talent economy whether we like it or not. Marion County alone employs more Hamilton County residents than Hamilton County does. Only 35.7 percent of our employed residents both live and work here. Raising that share is the cleanest measure of local opportunity.

Pillar 3: Career Mobility & Discovery Systems
The number we watch: Live-and-work share of employed residents (baseline 35.7 percent)
H

Opportunity-population inclusion as labor supply (Confirmed)

At 2.2 percent unemployment, our largest untapped labor pool is our own neighbors: residents with disabilities, residents in recovery, and residents returning from incarceration.

Residents with disabilities work at a 62.3 percent employment rate against 83.4 percent for residents without one. Closing that 21.1-point gap represents roughly 3,000 workers, about two-thirds of everyone unemployed in the county today. We already lead the metro, the state, and the nation here. The plan is to widen that lead.

Pillar 1: Full Employment & Public Safety
The number we watch: Disability employment-to-population ratio and gap (62.3 percent, 21.1 points)

The hidden drivers of work

Most of what moves a workforce never shows up in a jobs report. It shows up in a childcare waitlist, an eviction filing, a lonely retiree, an overdose curve. We took the national research on the social determinants of work, asked which of those forces are actually present in Hamilton County, and tested each one against our own data. Purple is us. Blue is the country. Where the lines move together, the national story is our story. Where they split, we say which way and why it matters.

How to read this section

Method: each driver starts as a hypothesis stated before we looked at the data, carries a peer-reviewed mechanism, gets tested against Hamilton County series from named public sources, and ends with what we should do about it. Verdicts are about the trend, not the level: 'national trend present' means our line moves like the country's, whatever our starting point.

The overdose curve is bending. That is a labor supply event.

Trend present, easing faster here
The hypothesis we tested The overdose epidemic that removed prime-age Americans from work for two decades is present in our labor market, and the national 2024 decline should be visible here too. Why it moves the workforce Alan Krueger's landmark 2017 analysis attributed roughly 43 percent of the decline in prime-age male labor force participation to the opioid crisis. Overdose is not just a health tragedy. It is the largest single documented drag on male labor supply of the last generation. The national trend U.S. overdose deaths quadrupled from 2002 to a peak near 111,000, then fell roughly 24 percent in 2024, the sharpest decline on record (CDC provisional data). The Hamilton County test Indiana surged harder than the nation, peaking in 2021 at 2.3 times its 2015 level against 2.0 nationally, and has since fallen faster: by 2025 Indiana sits at 113 on the index against 132 for the U.S. Hamilton County's own overdose death rate runs about 14 per 100,000, roughly half the national rate. The chart indexes both lines to 2015 so the shape, not the size, is the comparison.
12-month-ending December deaths, indexed 2015 = 100 10015020025020152018202020222025Indiana overdose deaths (indexed) 2015: 100Indiana overdose deaths (indexed) 2025: 113.2Indiana overdose deaths (indexed) 2015: 100Indiana overdose deaths (indexed) 2016: 122.2Indiana overdose deaths (indexed) 2017: 148.9Indiana overdose deaths (indexed) 2018: 130.8Indiana overdose deaths (indexed) 2019: 138.3Indiana overdose deaths (indexed) 2020: 184Indiana overdose deaths (indexed) 2021: 226.4Indiana overdose deaths (indexed) 2022: 216.4Indiana overdose deaths (indexed) 2023: 178Indiana overdose deaths (indexed) 2024: 137.6Indiana overdose deaths (indexed) 2025: 113.2IndianaUnited States (indexed) 2015: 100United States (indexed) 2025: 131.9United States (indexed) 2015: 100United States (indexed) 2016: 121.5United States (indexed) 2017: 134.3United States (indexed) 2018: 128.9United States (indexed) 2019: 135.2United States (indexed) 2020: 175.7United States (indexed) 2021: 204.4United States (indexed) 2022: 207.9United States (indexed) 2023: 203.1United States (indexed) 2024: 153.7United States (indexed) 2025: 131.9U.S.
Indiana overdose deaths (indexed) United States (indexed)
View the data table
YearIndianaU.S.
2015100.0100.0
2016122.2121.5
2017148.9134.3
2018130.8128.9
2019138.3135.2
2020184.0175.7
2021226.4204.4
2022216.4207.9
2023178.0203.1
2024137.6153.7
2025113.2131.9
CDC WONDER provisional drug overdose deaths (VSRR), 2015-2025. County context: 14.3 deaths per 100,000 (CHR 2025), about half the national rate.
What we do with it: If the curve keeps bending, a recovery population is re-entering the labor market for the first time in years. That is exactly the population the Re-Entry Workforce Initiative was funded to serve. The moment to build recovery-friendly on-ramps is while the curve is falling, not after.
Pillar 1: Full Employment & Public Safety Claimed: Pillar 1, Re-Entry Workforce Initiative, opioid settlement programming.

Disability is rising everywhere. Here, it is also a workforce answer.

Disproved: the national rise is not showing up here
The hypothesis we tested Disability prevalence is rising locally in step with the national post-2020 rise, which makes disability employment simultaneously our largest untapped labor pool and a growing exit ramp. Why it moves the workforce Long COVID and an aging workforce pushed U.S. disability prevalence up after 2020, removing an estimated 2 to 4 million full-time workers (Brookings). At the same time, remote and flexible work pushed employment among people with disabilities to record national highs. The same force opens a door and a drain. The national trend About 28 percent of U.S. adults now report a disability (CDC 2024), and the employment-to-population ratio for working-age people with disabilities has hit record levels every year since 2022. The Hamilton County test The chart disproves half our hypothesis, and that is the point of testing. Hamilton County prevalence has held near 8 percent since 2019 while the national line climbed past 13. The post-2020 national disability rise has not arrived here, at least not yet. The labor-pool half stands: our 21.1-point disability employment gap remains the narrowest of any comparable Indiana geography.
share of residents reporting a disability (ACS) 810121420192020202120222023Hamilton County disability prevalence 2019: 7.9%Hamilton County disability prevalence 2023: 7.8%Hamilton County disability prevalence 2019: 7.9%Hamilton County disability prevalence 2020: 8.4%Hamilton County disability prevalence 2021: 8.4%Hamilton County disability prevalence 2022: 7.9%Hamilton County disability prevalence 2023: 7.8%Hamilton Co.United States 2019: 12.6%United States 2023: 13%United States 2019: 12.6%United States 2020: 12.7%United States 2021: 12.6%United States 2022: 12.9%United States 2023: 13%U.S.
Hamilton County disability prevalence United States
View the data table
YearHamilton Co.U.S.
20197.912.6
20208.412.7
20218.412.6
20227.912.9
20237.813.0
Census ACS disability tables (B18101), 2019-2024. Employment gap context: Hamilton County 21.1 points, the narrowest comparable Indiana geography.
What we do with it: Two moves follow. Keep widening the employment lead, because roughly 3,000 residents with disabilities could close the remaining gap, about two-thirds of everyone unemployed in the county. And keep watching the prevalence line, because if the national rise arrives late, we want to see it coming.
Pillar 1: Full Employment & Public Safety Claimed: Pillar 1, InvestAbility. The long COVID exit flow is not yet named anywhere in our plans.

Housing costs are locking workers in place

Trend present, amplified here
The hypothesis we tested The national escalation of housing costs relative to income is fully present here, and it is quietly converting our labor market from one people move to into one people commute to. Why it moves the workforce Ganong and Shoag showed that when housing costs outrun incomes in prosperous places, lower-wage workers stop moving in and the historic engine of Americans moving to opportunity stalls. The workforce you priced out does not disappear. It drives in, until it doesn't. The national trend U.S. home prices have far outpaced income growth since 2012; interstate mobility is roughly half its 1980s rate; the country is an estimated 15 million units short of its 1980-2000 building pace (NBER). The Hamilton County test Indexed to 2015, Hamilton County's house price index has risen faster than the national Case-Shiller line. Local prices are up 63.7 percent just since 2019, and every tested service occupation is priced out of the median home on a single income.
house price index, 2015 = 100 5010015020020122015201820222025Hamilton County house prices (indexed) 2012: 90.8Hamilton County house prices (indexed) 2025: 203.4Hamilton County house prices (indexed) 2012: 90.8Hamilton County house prices (indexed) 2013: 92.2Hamilton County house prices (indexed) 2014: 96.7Hamilton County house prices (indexed) 2015: 100Hamilton County house prices (indexed) 2016: 105.2Hamilton County house prices (indexed) 2017: 110.3Hamilton County house prices (indexed) 2018: 117.5Hamilton County house prices (indexed) 2019: 124.3Hamilton County house prices (indexed) 2020: 127.6Hamilton County house prices (indexed) 2021: 142.4Hamilton County house prices (indexed) 2022: 169.1Hamilton County house prices (indexed) 2023: 185.8Hamilton County house prices (indexed) 2024: 194Hamilton County house prices (indexed) 2025: 203.4Hamilton Co.United States, Case-Shiller (indexed) 2012: 81.9United States, Case-Shiller (indexed) 2025: 190.8United States, Case-Shiller (indexed) 2012: 81.9United States, Case-Shiller (indexed) 2013: 89.8United States, Case-Shiller (indexed) 2014: 95.7United States, Case-Shiller (indexed) 2015: 100United States, Case-Shiller (indexed) 2016: 105.1United States, Case-Shiller (indexed) 2017: 111.2United States, Case-Shiller (indexed) 2018: 117.6United States, Case-Shiller (indexed) 2019: 121.6United States, Case-Shiller (indexed) 2020: 129United States, Case-Shiller (indexed) 2021: 151United States, Case-Shiller (indexed) 2022: 173.3United States, Case-Shiller (indexed) 2023: 177.6United States, Case-Shiller (indexed) 2024: 186.7United States, Case-Shiller (indexed) 2025: 190.8U.S.
Hamilton County house prices (indexed) United States, Case-Shiller (indexed)
View the data table
YearHamilton Co.U.S.
201290.881.9
201392.289.8
201496.795.7
2015100.0100.0
2016105.2105.1
2017110.3111.2
2018117.5117.6
2019124.3121.6
2020127.6129.0
2021142.4151.0
2022169.1173.3
2023185.8177.6
2024194.0186.7
2025203.4190.8
FHFA county HPI (Hamilton County) and S&P Case-Shiller U.S. national index, 2012-2025.
What we do with it: This is why 62 percent of the jobs inside our county are filled by people driving in. Housing is not adjacent to workforce policy. In a county this expensive, housing IS workforce policy.
Pillar 2: Community-Essential Workforce Claimed: Challenge D. The mobility-lock mechanism, workers who cannot afford to arrive, is the unnamed half.

The behavioral health surge reached the highest-cost door

Trend present, amplified here
The hypothesis we tested The national rise in behavioral health distress shows up locally as crisis-service utilization, concentrated in working-age adults. Why it moves the workforce Untreated mental illness costs the U.S. an estimated $282 billion a year (Yale, 2024), and Indiana about $4.2 billion. When treatment infrastructure lags demand, distress routes to the most expensive possible setting: EMS runs and emergency departments. That is measurable. The national trend The share of U.S. adults receiving mental health treatment rose from 19.2 to 23.9 percent between 2019 and 2023 (CDC), with demand growth outpacing the workforce that serves it. The Hamilton County test Hamilton County mental health EMS and ED events more than tripled, from 6,334 in 2017 to over 21,000 a year since 2023. Our per-10,000 rate nearly tripled while Indiana's doubled. We remain below the state's level, but we are converging toward it, and more than half of 2024 events involved adults 18 to 60.
mental health EMS/ED events per 10,000 residents 2004006008001,00020172019202020222024Hamilton County MH crisis events per 10k 2017: 196 per 10kHamilton County MH crisis events per 10k 2024: 576.7 per 10kHamilton County MH crisis events per 10k 2017: 196 per 10kHamilton County MH crisis events per 10k 2018: 256.2 per 10kHamilton County MH crisis events per 10k 2019: 308.6 per 10kHamilton County MH crisis events per 10k 2020: 354.4 per 10kHamilton County MH crisis events per 10k 2021: 582.5 per 10kHamilton County MH crisis events per 10k 2022: 596.4 per 10kHamilton County MH crisis events per 10k 2023: 595.7 per 10kHamilton County MH crisis events per 10k 2024: 576.7 per 10kHamilton Co.Indiana 2017: 456.4 per 10kIndiana 2024: 916.9 per 10kIndiana 2017: 456.4 per 10kIndiana 2018: 596.2 per 10kIndiana 2019: 678.5 per 10kIndiana 2020: 695.5 per 10kIndiana 2021: 894.1 per 10kIndiana 2022: 851.5 per 10kIndiana 2023: 883.6 per 10kIndiana 2024: 916.9 per 10kIndiana
Hamilton County MH crisis events per 10k Indiana
View the data table
YearHamilton Co.Indiana
2017196.0456.4
2018256.2596.2
2019308.6678.5
2020354.4695.5
2021582.5894.1
2022596.4851.5
2023595.7883.6
2024576.7916.9
Indiana Management Performance Hub EMS/ED syndromic data, 2017-2024. No comparable national series exists; Indiana is the comparator.
What we do with it: A crisis event in a working-age adult is a missed shift, often a lost job, sometimes a lost worker. The BH Action Dashboard and crisis-pipeline work exist because this line refused to bend. Employers are the untapped prevention layer.
Pillar 4: Workplace ExcellencePillar 1: Full Employment & Public Safety Claimed: Challenge F, BHNA 2026, the Behavioral Health Action Dashboard.

The anchor fact: our labor market runs structurally tighter

Structural divergence, in our favor
The hypothesis we tested Hamilton County's unemployment rate tracks every national cycle but sits persistently below it, which is precisely why labor supply, not labor demand, is our binding constraint. Why it moves the workforce A structurally tight labor market changes what workforce policy means. When there is no reserve of idle workers, growth can only come from removing barriers to participation: care, housing, health, inclusion. Every other driver on this page matters because of this one. The national trend The U.S. unemployment rate has cycled between 3.4 and 14.8 percent over the last two decades and sits near 4.2 percent today (BLS). The Hamilton County test Two decades of monthly data: Hamilton County rides every national recession and recovery, roughly one to one and a half points below the national line the entire way. Today: 2.2 percent against 4.2 nationally.
annual average unemployment rate 24681020052010201520202025Hamilton County unemployment 2005: 3.48%Hamilton County unemployment 2025: 2.91%Hamilton County unemployment 2005: 3.48%Hamilton County unemployment 2006: 3.24%Hamilton County unemployment 2007: 2.97%Hamilton County unemployment 2008: 3.81%Hamilton County unemployment 2009: 6.52%Hamilton County unemployment 2010: 6.46%Hamilton County unemployment 2011: 5.68%Hamilton County unemployment 2012: 5.23%Hamilton County unemployment 2013: 4.96%Hamilton County unemployment 2014: 4.06%Hamilton County unemployment 2015: 3.38%Hamilton County unemployment 2016: 3.21%Hamilton County unemployment 2017: 2.78%Hamilton County unemployment 2018: 2.73%Hamilton County unemployment 2019: 2.58%Hamilton County unemployment 2020: 4.91%Hamilton County unemployment 2021: 2.47%Hamilton County unemployment 2022: 2.23%Hamilton County unemployment 2023: 2.67%Hamilton County unemployment 2024: 3.23%Hamilton County unemployment 2025: 2.91%Hamilton Co.United States 2005: 5.08%United States 2025: 4.26%United States 2005: 5.08%United States 2006: 4.61%United States 2007: 4.62%United States 2008: 5.8%United States 2009: 9.28%United States 2010: 9.61%United States 2011: 8.93%United States 2012: 8.07%United States 2013: 7.36%United States 2014: 6.16%United States 2015: 5.28%United States 2016: 4.88%United States 2017: 4.36%United States 2018: 3.89%United States 2019: 3.67%United States 2020: 8.1%United States 2021: 5.35%United States 2022: 3.65%United States 2023: 3.62%United States 2024: 4.03%United States 2025: 4.26%U.S.
Hamilton County unemployment United States
View the data table
YearHamilton Co.U.S.
20053.485.08
20063.244.61
20072.974.62
20083.815.8
20096.529.28
20106.469.61
20115.688.93
20125.238.07
20134.967.36
20144.066.16
20153.385.28
20163.214.88
20172.784.36
20182.733.89
20192.583.67
20204.918.1
20212.475.35
20222.233.65
20232.673.62
20243.234.03
20252.914.26
BLS via FRED: Hamilton County (INHAMI5URN) and U.S. (UNRATE), annual averages 2005-2025.
What we do with it: This is the chart that explains the whole plan. We do not have a job shortage or a people shortage. We have a barrier surplus.
Pillar 1: Full Employment & Public SafetyPillar 2: Community-Essential WorkforcePillar 3: Career Mobility & Discovery Systems Claimed: it is the premise of the entire Workforce Strategic Plan.

Housing instability causes job loss. Our measuring stick ends in 2018.

Watch: data gap
The hypothesis we tested Eviction and forced moves are a hidden cause of local job separations, and the county's filing trend should be tracked as a leading workforce indicator. Why it moves the workforce Princeton's Milwaukee study (Desmond and Gershenson) found workers who suffer a forced move become 11 to 22 percentage points MORE likely to lose their job afterward. The arrow runs from housing loss to job loss, not just the other way. An eviction filing is an early warning on somebody's employment. The national trend U.S. eviction filings returned to more than one million a year by 2024, about 6 percent above the pre-pandemic norm in tracked cities (Eviction Lab). The Hamilton County test Hamilton County's filing rate peaked near 7 per 100 renter households in the foreclosure-era early 2010s and sat near 6 in 2018, roughly one filing for every 17 renter households, with filings growing alongside the county's renter base. Then our best public source, Eviction Lab, stops: its geography is frozen in 2010 census tracts. We have no post-2018 trend line for a factor with proven causal force.
filings per 100 renter households; series ENDS 2018 (the data gap is the finding) 567820002004200920142018Hamilton County eviction filings per 100 renter households 2000: 4.74Hamilton County eviction filings per 100 renter households 2018: 5.97Hamilton County eviction filings per 100 renter households 2000: 4.74Hamilton County eviction filings per 100 renter households 2001: 5.49Hamilton County eviction filings per 100 renter households 2002: 5.79Hamilton County eviction filings per 100 renter households 2003: 5.5Hamilton County eviction filings per 100 renter households 2004: 5.43Hamilton County eviction filings per 100 renter households 2005: 5.93Hamilton County eviction filings per 100 renter households 2006: 5.22Hamilton County eviction filings per 100 renter households 2007: 5.91Hamilton County eviction filings per 100 renter households 2008: 5.77Hamilton County eviction filings per 100 renter households 2009: 5.37Hamilton County eviction filings per 100 renter households 2010: 6.27Hamilton County eviction filings per 100 renter households 2011: 7.31Hamilton County eviction filings per 100 renter households 2012: 6.99Hamilton County eviction filings per 100 renter households 2013: 7.03Hamilton County eviction filings per 100 renter households 2014: 7Hamilton County eviction filings per 100 renter households 2015: 5.1Hamilton County eviction filings per 100 renter households 2016: 5.76Hamilton County eviction filings per 100 renter households 2017: 6.03Hamilton County eviction filings per 100 renter households 2018: 5.97Hamilton Co.
Hamilton County eviction filings per 100 renter households
View the data table
YearHamilton Co.
20004.74
20015.49
20025.79
20035.5
20045.43
20055.93
20065.22
20075.91
20085.77
20095.37
20106.27
20117.31
20126.99
20137.03
20147.0
20155.1
20165.76
20176.03
20185.97
Eviction Lab county estimates, 2000-2018. National context: U.S. filings topped one million in 2024, ~6 percent above the pre-pandemic norm.
What we do with it: The fix is a county court filing feed, a data ask, not a program. Until then, every renter-cost-burden number on this page is carrying the eviction story on its back.
Pillar 2: Community-Essential Workforce Partially claimed under Challenge D. The post-2018 measurement gap is documented and unfilled.

Community connection is quietly thinning, here too

Early signal: we start below average
The hypothesis we tested The national erosion of social connection is measurable in Hamilton County, and it functions as workforce infrastructure, not just wellbeing. Why it moves the workforce The Surgeon General declared loneliness an epidemic with mortality risk equal to fifteen cigarettes a day. For work specifically, connection is the referral network: Chetty's analysis of 21 billion friendships showed cross-class connection is the strongest community predictor of upward mobility ever measured. Lonely communities lose the informal ladders jobs actually travel on. The national trend One in five U.S. employees reports daily loneliness (Gallup 2024); membership associations have declined for decades nationwide. The Hamilton County test Here is the surprise: for all our affluence, Hamilton County has fewer membership associations per capita than the median American county, 9.6 against 10.7 per 10,000 residents, and both lines drifted down over the short series we hold. Nearly one in three of our residents reports loneliness (CDC PLACES 2023). These are numbers from OUR community, not a struggling one.
membership associations per 10k, by County Health Rankings release year (short series; three points is a signal, not a verdict) 9.510101120242025Hamilton County membership associations per 10k 2024: 9.79Hamilton County membership associations per 10k 2025: 9.59Hamilton County membership associations per 10k 2024: 9.79Hamilton County membership associations per 10k 2025: 9.59Hamilton Co.U.S. county median 2024: 10.77U.S. county median 2025: 10.71U.S. county median 2024: 10.77U.S. county median 2025: 10.71U.S. median
Hamilton County membership associations per 10k U.S. county median
View the data table
YearHamilton Co.U.S. median
20249.7910.77
20259.5910.71
County Health Rankings 2024-2026 releases (source data lags ~3 years). CDC PLACES 2023: 29.2 percent of Hamilton County adults report loneliness.
What we do with it: No pillar names social connection as workforce infrastructure. It should. Every program we run works through a relationship, and the relationship layer is thinning underneath all of them.
UNCLAIMED. The strongest candidate for a named priority this plan does not yet have.

Food insecurity is a working-household problem, even here

Present, muted by affluence
The hypothesis we tested Food insecurity exists at meaningful scale inside our workforce, masked by county averages, and it degrades job performance before it ever shows up in a benefits office. Why it moves the workforce New experimental work in the Journal of Applied Psychology (2026) shows food anxiety directly degrades work performance, and food insecurity roughly doubles the odds of poor mental health. Nationally, more than half of food-insecure households contain a full-time worker. This is an employed population. The national trend 13.7 percent of U.S. households were food insecure in 2024, an 18.3-million-household decade high after pandemic supports lapsed (USDA). The Hamilton County test Hamilton County's rate is about 9 percent, well under the national line, but in a county of 380,000 that is still tens of thousands of people, most in working households, and our short series moves with the national one.
food insecurity, by County Health Rankings release year (short series; three points is a signal, not a verdict) 6810121420242025Hamilton County food insecurity 2024: 6%Hamilton County food insecurity 2025: 9.2%Hamilton County food insecurity 2024: 6%Hamilton County food insecurity 2025: 9.2%Hamilton Co.U.S. county median 2024: 11.2%U.S. county median 2025: 14.2%U.S. county median 2024: 11.2%U.S. county median 2025: 14.2%U.S. median
Hamilton County food insecurity U.S. county median
View the data table
YearHamilton Co.U.S. median
20246.011.2
20259.214.2
County Health Rankings 2024-2026 releases (source data lags ~3 years).
What we do with it: Affluence masking is the trap: a 9 percent rate in a rich county reads as success while thousands of workers ration groceries. No IHC pillar names food security. At minimum it belongs in the employer benefits conversation we already run.
UNCLAIMED as a workforce factor.

Disconnected youth: the national wave has not landed here. Keep it that way.

Diverges, better here
The hypothesis we tested The national rise in young people neither working nor in school is measurable here, concentrated among young men. Why it moves the workforce Disconnection between 16 and 24 scars lifetime earnings; each disconnected young person represents roughly a million dollars in lifetime societal cost. Nationally the share of young men neither in school nor seeking work doubled from 4 to 8 percent between 1990 and 2024. The national trend About 4.15 million U.S. youth are disconnected; young male labor force participation fell from 69 to 57 percent over three decades (AIBM). The Hamilton County test Hamilton County's disconnected youth rate is about 4.2 percent, roughly half the national median, and our short series is holding flat while the national line drifts. With about 19,000 residents in the age band, even our low rate is about 800 young people.
disconnected youth (16-19), by County Health Rankings release year (short series; three points is a signal, not a verdict) 4567820242025Hamilton County disconnected youth (16-19) 2024: 4.32%Hamilton County disconnected youth (16-19) 2025: 4.23%Hamilton County disconnected youth (16-19) 2024: 4.32%Hamilton County disconnected youth (16-19) 2025: 4.23%Hamilton Co.U.S. county median 2024: 8.13%U.S. county median 2025: 7.77%U.S. county median 2024: 8.13%U.S. county median 2025: 7.77%U.S. median
Hamilton County disconnected youth (16-19) U.S. county median
View the data table
YearHamilton Co.U.S. median
20244.328.13
20254.237.77
County Health Rankings 2024-2026 releases (source data lags ~3 years).
What we do with it: Our schools, The Pursuit Institute, and the Pathways Lab are the reason this line looks like this. The 800 who are disconnected anyway are the hardest and most valuable 800 to reach.
Pillar 3: Career Mobility & Discovery SystemsPillar 1: Full Employment & Public Safety Claimed via K-12 pathways work; the disconnected-anyway remainder is unowned.

Three forces have national evidence strong enough to act on and no Hamilton County measuring stick at all. Naming the gap is the first fix.

Unmeasured here

Social capital as economic infrastructure

Nationally: Chetty's Social Capital Atlas showed cross-class connection predicts upward mobility better than school quality or income itself, and it varies twofold across American ZIP codes.

Our gap: The Atlas data exists for every Hamilton County ZIP code. We have never pulled it, joined it to our tract spine, or asked whether the workers who commute into our county can access the networks that live here.

The fix: One data pull, one afternoon of analysis against the warehouse.
Unmeasured here

The sandwich generation drain

Nationally: 63 million Americans now provide unpaid care, up 45 percent since 2015 (AARP). Caregiving was the number one reason women left the U.S. workforce in 2025 (Catalyst). It is the childcare argument replayed thirty years up the age curve.

Our gap: We measure childcare in licensed slots, to the child. We measure eldercare with nothing. In a county where one in five workers is already 55 or older, the caregivers of aging parents are our own mid-career workforce.

The fix: Add caregiving questions to the employer surveys we already field; pull the ACS caregiving proxies annually.
Unmeasured here

Energy burden as a hidden wage cut

Nationally: 27 percent of U.S. households report difficulty paying energy bills; low-income households pay about 35 percent more per square foot (EIA). Disconnection notices cascade into the same instability chain as eviction.

Our gap: Federal tract-level energy burden data (DOE LEAD) sits in our warehouse as a single unexamined snapshot. It has never been crossed with our wage-floor or service-worker analysis.

The fix: Already in the warehouse. One analysis pass connects it to the four wage-floor employer archetypes.

What we track

We track two kinds of numbers. Outcome numbers tell us whether life actually got better: incomes, participation, people working close to home. Leading numbers move first and warn us early: posting ratios, childcare capacity, the occupations AI touches first. Strategic numbers steer decisions. Compliance numbers satisfy reporting. We label which is which, and where a baseline does not exist yet, we say so instead of inventing one.

Outcome numbers: did life get better?

Resident labor-force participation
205,740 employed residents; labor force 210,375
strategic — steers decisions

At 2.2 percent unemployment, participation is the only supply number that can grow. It is the master gauge of Findings C, D, F, and H combined.

BLS LAUS · Apr 2026
Median household income growth
$127,452
strategic — steers decisions

Tests whether the earnings engine survives AI-era task compression on both sides of the county line (Findings A and G).

FRED · 2024
Sub-baccalaureate credential completions
Baseline being set in year one
compliance — required reporting

Required for state and federal reporting; strategically read through the demand-to-supply ratio, not on its own.

Ivy Tech / partner reporting · year one
Employer time-to-fill (median posting duration, key occupations)
RN 28 days
strategic — steers decisions

The employer-side price of the middle-skill squeeze. If Finding B interventions work, this falls first.

Lightcast · Q1 2026
Quarterly turnover rate
9.8 percent
compliance — required reporting

Standard board reporting; watched for the Finding E signal (separations accelerating past the 2019 average of 10.5 percent).

Census QWI · 2024
Live-and-work share of employed residents
67,178 residents; 35.7 percent
strategic — steers decisions

The single number that captures local talent recapture. Rising share means employers are winning a larger slice of the workforce that already lives here (Finding G).

Census LEHD LODES · 2023
Disability employment-to-population ratio and gap
62.3 percent; gap 21.1 points
strategic — steers decisions

The county's primary remaining labor-supply lever (Finding H). Ratio up, gap down is the target direction.

Census ACS S1811 · 2023

Leading numbers: the early warnings

High-exposure occupation headcount, CSR bellwether
SOC 43: 22,070 jobs; CSR 3,968, down 6.1 percent since 2019
strategic — steers decisions

The earliest visible edge of Finding A. If compression accelerates, this line moves before any survey does.

Lightcast · Q1 2026
Sub-baccalaureate demand-to-supply ratio
1.43
strategic — steers decisions

The single number for the inverted skills gap. Rising means the squeeze is deepening faster than the pipeline responds.

Lightcast; Census ACS B15003 · Q1 2026 / 2023
Reskilling and upskilling enrollments
Baseline being set in year one
compliance — required reporting

Program throughput for funder reporting; meaningful only against the ratio and time-to-fill above.

Council program reporting · year one
Licensed childcare capacity per under-6 child in need
0.80
strategic — steers decisions

The binding participation constraint for young families (Finding C). Every 0.01 of ratio is roughly 180 slots.

Brighter Futures Indiana · Jun 2026
Renter cost burden, 50 to 80 percent of area median income
60.6 percent
strategic — steers decisions

Whether the workforce that staffs the county can live in it (Finding D). Below 50 percent signals real progress.

HUD CHAS · 2018-2022
Opportunity-population placements
Baseline being set in year one
compliance — required reporting

Grant-required counts; the strategic read is the S1811 ratio in tier one.

IHC program reporting · year one
Workers 55 and older share of in-county jobs
County 21.4 percent; Noblesville 22.1 percent
strategic — steers decisions

The succession clock (Finding E). Sustained movement above 25 percent escalates succession work from advisory to urgent.

Census LEHD LODES WAC · 2023
Working-age mental health crisis events
11,520 of 21,432 events involved adults 18 to 60
strategic — steers decisions

What unmanaged behavioral health demand looks like when it reaches the highest-cost setting (Finding F). Decline from the plateau is the success signal.

Indiana MPH · 2024
The equity lens

Every KPI is disaggregated by city and by population (residents with disabilities, residents returning from incarceration, residents in recovery, age cohort, parents of young children) wherever the source supports it. Person-first language is the standard; small populations report only above minimum cell sizes. Where a source cannot support disaggregation, the gap is named in the annual review.

Workforce stories

Averages hide people. So we break the county's workforce story into the real situations behind the numbers: eight resident situations, six occupations at a turning point, and nine kinds of employers with nine different problems. Find yours.

Parents of young children

The second paycheck childcare decides

Around 18,300 Hamilton County children under six have all their parents in the workforce. We have 14,702 licensed slots. That 0.80 ratio is a daily math problem solved at kitchen tables: whose career pauses? Every added slot is a parent who can say yes to a job.

What we are doing: The Childcare Expansion: employer playbooks, provider tools, parent calculators, and a public policy dashboard.

Service workers who rent

Working here, priced out here

Home prices are up 63.7 percent since 2019. If you teach, cook, care for patients, or stock shelves in this county, the median home is out of reach on your income alone, and 6 in 10 moderate-income renters are cost-burdened. A county that prices out its own workforce eventually staffs itself from somewhere else.

What we are doing: Housing cost research in every plan review, and wage-floor analysis with the employers who feel it first.

Residents with disabilities

Three thousand neighbors ready to work

Residents with disabilities here work at a 62.3 percent rate. Residents without one, 83.4 percent. Closing that gap means roughly 3,000 more people working, about two-thirds of everyone unemployed in the county. We already lead the nation among large counties. The plan is to widen the lead, not admire it.

What we are doing: InvestAbility, our disability workforce program, and employer inclusion training.

Neighbors in recovery or returning from incarceration

A next step, not a five-year plan

Employment is the strongest predictor of a successful return: 16 percent recidivism for people working, 52 percent without work. Nobody needs a lecture about a destination five years away. People need the very next rung, what it pays, and who is hiring.

What we are doing: The Re-Entry Workforce Initiative, funded by the county, from jail intake to first paycheck.

Workers 55 and older, and everyone behind them

The succession question

One in five workers in county jobs is 55 or older. About 45,000 residents cross retirement age within the decade. That is 3,800 replacement hires a year in the trades, schools, healthcare, and government. Experience is walking toward the door; the question is who is walking in.

What we are doing: Apprenticeship expansion, succession-focused employer visits, and pipeline tracking by occupation.

Commuters and recent graduates

Six in ten of us work somewhere else

64.3 percent of employed residents leave the county to work. Marion County employs more of our residents than we do. Some of that is healthy metro life. But only 35.7 percent of us live and work here, and every point that number rises means shorter commutes and more of our talent building our own economy.

What we are doing: Talent recapture: showing residents the $70,000-plus careers that already exist within county lines.

Office and knowledge workers

When the job description starts changing

27.2 percent of county jobs sit in the office, finance, tech, legal, and media work AI reaches first. Customer service representative jobs are already down 6.1 percent since 2019. The answer is not panic. It is a visible next rung for every role AI compresses, before the compression arrives.

What we are doing: Career ladders for every high-exposure occupation, tracked in this plan quarterly.

Job seekers without a four-year degree

No bachelor's degree. No problem. Almost.

Most people assume this county only hires college graduates. The postings say otherwise: 54.6 percent of stated demand asks for less than a bachelor's. The catch is supply. Demand for middle-skill workers outruns the people available 1.43 to 1, which makes training the fastest door into a good career here.

What we are doing: Ivy Tech partnerships, The Pursuit Institute pathways, and credential programs mapped to real openings.

The research library

Every claim on this page traces back to research you can read yourself. 29 reports, all free, all downloadable, no email required.

Flagship

5 Years of Insights

Five years of Hamilton County economic and workforce research in one flagship retrospective.

PDF · 2.0 MB
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Talent InSight 2030: 2026 Report Card

Annual progress report on the county talent strategy.

PDF · 1.1 MB
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State of the Economy 2026

The full annual read on Hamilton County's economy.

PDF · 0.1 MB
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State of the Economy 2026: Public Summary

The seven-page version anyone can read in ten minutes.

PDF · 0.1 MB
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Workforce & Talent

The Great Mismatch: Executive Summary

Why the skills gap here runs the opposite direction most people assume.

PDF · 0.6 MB
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The County That Built the Mismatch, 2025 to 2040

The full study behind the Great Mismatch summary.

PDF · 0.7 MB
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The Workforce We're Losing

Who commutes out, who leaves, and what it costs us.

PDF · 0.7 MB
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The Retirement Bow Wave, 2026 to 2032

One in five workers here is 55 or older. This is the succession math.

PDF · 0.8 MB
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Sectoral Permeability Audit

How easily workers actually move between our industries.

PDF · 0.6 MB
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Indianapolis MSA AI Exposure Index

Which metro jobs AI touches first, measured occupation by occupation.

PDF · 0.7 MB
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AI Skills Gap Analysis

County demand for AI skills versus the supply we have today.

PDF · 0.5 MB
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Make America AI-Ready: Employer Brief

What employers can do about AI exposure right now.

PDF · 0.5 MB
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From Paper to Pathway

An evidence-based framework for workforce re-entry after incarceration or recovery.

PDF · 0.2 MB
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Hamilton Pathways Lab: HSE Pilot Crosswalk Brief

Connecting K-12 coursework to real county career demand.

PDF · 0.1 MB
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Childcare

Hamilton Childcare Research Series

Five studies in one volume: deserts, staffing, sector vitality, rigor audit, pre-K crowd-out.

PDF · 1.0 MB
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Childcare 101: An Employer Guide

The practical playbook for employers who want to help staff find and afford care.

PDF · 0.5 MB
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Behavioral Health

Behavioral Health Needs Assessment 2026: Public Edition

The countywide behavioral health assessment, written for everyone.

PDF · 7.2 MB
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Economy & Business Climate

Small Business Climate Analysis

How small business formation and survival really look here.

PDF · 0.6 MB
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INZone / Foreign Trade Zone Opportunity Analysis

What an FTZ designation could do for county employers.

PDF · 0.4 MB
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Hamilton County's Impact on Indiana

What our county contributes to the state's economy.

PDF · 0.1 MB
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SEA 1 Property Tax Impact Analysis

What Indiana's property tax overhaul means for local budgets and services.

PDF · 1.0 MB
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Quality of Life & Housing

Quality of Life Impact Report

Where Hamilton County ranks among 292 large U.S. counties, and why.

PDF · 0.8 MB
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National Rankings Flyer

The two-page scorecard of our national standing.

PDF · 0.2 MB
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Community-Essential Quality of Life Framework

The one-page framework behind our Quality of Life work.

PDF · 0.2 MB
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Benefits Intelligence

Hamilton County Benefits Landscape

What employers here actually offer, benchmarked against the nation.

PDF · 0.1 MB
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Benefits Intelligence Methodology

How we measure benefits without ever exposing a single employer.

PDF · 0.1 MB
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Research Brief: Workplace Flexibility

What flexible work looks like in the local market.

PDF · 0.1 MB
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Looking Ahead

Hamilton County 2050

The long-range demographic and economic outlook.

PDF · 0.1 MB
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Carmel Remote Worker Report

What the remote-work shift means for our largest city.

PDF · 1.2 MB
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