This study underscores that effective governance isn't about spending the most — it's about delivering results prudently. Top cities demonstrate strong planning, safety, and economic foundations that make them attractive for families and businesses. Great fodder for discussions on local policy, development, and why places like Provo or Boise pull ahead.

Here's a complete list of all 148 cities from WalletHub's "Best- & Worst-Run Cities in America in 2026" ranking (published June 16, 2026), along with a deep-dive summary suitable for your blog post.

Full Ranking (Overall Rank 1 = Best-Run)

The ranking balances Quality of City Services (36 metrics across financial stability, education, health, safety, economy, infrastructure & pollution) against Total Budget per Capita. Lower budget per capita with strong services = better efficiency.

1. Provo, UT
2. Nampa, ID
3. Manchester, NH
4. Boise, ID
5. Nashua, NH
6. Sioux Falls, SD
7. Fort Wayne, IN
8. Virginia Beach, VA
9. Lincoln, NE
10. Mesa, AZ
11. Las Cruces, NM
12. Oklahoma City, OK
13. Mobile, AL
14. Dover, DE
15. Chesapeake, VA
16. Warwick, RI
17. Durham, NC
18. Jacksonville, FL
19. Lexington-Fayette, KY
20. Missoula, MT
21. Raleigh, NC
22. Cedar Rapids, IA
23. Columbus, GA
24. Madison, WI
25. Bismarck, ND
26. Wichita, KS
27. Grand Rapids, MI 28. Topeka, KS
28. Tallahassee, FL
29. Rapid City, SD
30. Portland, ME
31. Billings, MT
32. Knoxville, TN
33. Greensboro, NC
34. Warren, MI
35. Lubbock, TX
36. Eugene, OR
37. Huntington Beach, CA
38. Arlington, TX
39. Phoenix, AZ
40. Worcester, MA
41. Lewiston, ME
42. Omaha, NE
43. Louisville, KY
44. Gulfport, MS
45. El Paso, TX
46. St. Petersburg, FL
47. Indianapolis, IN
48. Huntington, WV
49. Garland, TX
50. Montgomery, AL
51. Anchorage, AK
52. Charlotte, NC
53. Fargo, ND
54. Casper, WY
55. Tulsa, OK
56. Albuquerque, NM
57. Aurora, IL
58. Austin, TX
59. Fort Worth, TX
60. Tucson, AZ
61. San Antonio, TX
62. Salem, OR
63. Burlington, VT
64. Colorado Springs, CO
65. Corpus Christi, TX
66. Baton Rouge, LA
67. Fort Smith, AR
68. Rutland, VT
69. Reno, NV
70. Providence, RI
71. Bridgeport, CT
72. Fairbanks, AK
73. Miami, FL
74. Hialeah, FL
75. Charleston, SC
76. Minneapolis, MN
77. Little Rock, AR
78. Spokane, WA
79. Columbus, OH
80. Cheyenne, WY
81. Norfolk, VA
82. Orlando, FL
83. Syracuse, NY
84. Akron, OH
85. Richmond, VA
86. St. Paul, MN
87. Fremont, CA
88. Des Moines, IA
89. Memphis, TN
90. Columbia, SC
91. Toledo, OH
92. Aurora, CO
93. Las Vegas, NV
94. Frederick, MD
95. Dallas, TX
96. Gary, IN
97. Kansas City, KS
98. Kansas City, MO
99. Tampa, FL
100. Milwaukee, WI
101. New Haven, CT
102. Nashville, TN
103. Buffalo, NY
104. Salt Lake City, UT
105. Boston, MA
106. Dayton, OH
107. Fort Lauderdale, FL
108. Atlanta, GA
109. San Diego, CA
110. Cincinnati, OH
111. Jackson, MS
112. Yonkers, NY
113. Modesto, CA
114. Santa Ana, CA
115. Portland, OR
116. Houston, TX
117. Anaheim, CA
118. Springfield, MA
119. Pittsburgh, PA
120. Charleston, WV
121. St. Louis, MO
122. Rochester, NY
123. Wilmington, DE
124. Bakersfield, CA
125. Birmingham, AL
126. San Jose, CA
127. Sacramento, CA
128. Hartford, CT
129. Seattle, WA
130. Riverside, CA
131. Shreveport, LA
132. Flint, MI
133. Cleveland, OH
134. Denver, CO
135. Los Angeles, CA
136. Stockton, CA
137. New Orleans, LA
138. Tacoma, WA
139. Long Beach, CA
140. Fresno, CA
141. Baltimore, MD
142. Philadelphia, PA
143. Chicago, IL
144. Oakland, CA
145. New York, NY
146. Detroit, MI
147. San Francisco, CA (worst)

Topeka, KS ranks a solid 28th overall — respectable, especially for a mid-sized Midwest city. It places 89th in Quality of City Services but a strong 16th in (lower) Total Budget per Capita, showing efficiency in stretching limited resources.

Deep Dive Summary 

WalletHub evaluated 148 largest U.S. cities by comparing the quality of public services delivered against per-capita budgets. This measures how efficiently local governments operate amid challenges like inflation, public safety, and infrastructure needs.

Key Methodology Highlights:

• Quality of Services: 36 metrics in 6 categories (Financial Stability, Education, Health, Safety, Economy, Infrastructure & Pollution).
• Budget Efficiency: Lower per-capita spending that still delivers strong outcomes wins.
• Top performers often feature low debt, strong education/economic metrics, safety, and infrastructure — with fiscal prudence.

Top 5 Insights:

• 1. Provo, UT: Excels with ~3.1% business growth, ~91% high school graduation rate, low crime (7th-lowest violent, 8th-lowest property), good roads, short commutes, and low congestion. Strong future foundation.
• 2. Nampa, ID: Extremely low government debt (~$902 per capita), very safe (2nd-lowest property crime), high business growth, low poverty, strong internet access.
• 3. Manchester, NH: Low air pollution, strong home value growth, low poverty, safe, low traffic/unemployment.
• Many top cities are in the Mountain West, Midwest, or Northeast — often smaller/mid-sized with lower costs and focused governance.
• Bottom cities (e.g., San Francisco, Detroit, New York) struggle with high budgets, debt, crime, or poor outcomes in services despite resources.

Notable Highlights Across Metrics (great for blog angles):

• Lowest Long-Term Debt per Capita: Casper, WY; Nampa, ID; etc. (vs. high in Atlanta, Oakland, SF). 65x difference between best/worst.
• High School Graduation: Frederick, MD; Austin, TX top. SF at bottom.
• Violent Crime: Worcester, MA; Virginia Beach top performers.
• Unemployment: Several tied low (e.g., Sioux Falls, Madison); Flint, MI worst (9x spread).
• Income & Poverty: Fremont, CA dominates high income/low poverty; Gary, IN/Flint bottom.
• Roads & Pollution: Big California cities often lag on infrastructure/pollution.

Relevance to Topeka / Kansas Readers:

• Topeka at #28 outperforms many larger peers (e.g., ahead of Wichita #26? Wait, Wichita is 26th, Topeka 28th — very close). It beats Kansas City (MO #99, KS #98) and many big metros. This highlights effective budget management in a lower-cost environment.
• Nearby/Regional: Lincoln NE (#9), Omaha (#43), Oklahoma City (#12), Tulsa (#56), etc.
• Lessons for local advocacy: Prioritize low debt, education outcomes, safety, and infrastructure efficiency — areas where mid-sized cities like Topeka can shine without massive budgets.

This study underscores that effective governance isn't about spending the most — it's about delivering results prudently. Top cities demonstrate strong planning, safety, and economic foundations that make them attractive for families and businesses. Great fodder for discussions on local policy, development, and why places like Provo or Boise pull ahead. 

WalletHub is a personal finance and fintech company specializing in consumer tools like free credit scores/reports/monitoring (via TransUnion partnership), credit card/loan/insurance comparisons, budgeting apps, and a steady stream of "Best & Worst" research reports on cities, states, careers, etc.

It launched in 2013 (as an evolution of CardHub.com, started earlier) and is headquartered in Miami, FL (previously associated with Washington, D.C.). It has around 110 employees and emphasizes free tools, data-driven comparisons, and editorial content.

Ownership and Origins

• Owned by Evolution Finance, Inc., a private company founded in 2008 by Odysseas Papadimitriou (CEO).
• Papadimitriou is a Greek immigrant who worked nearly 8 years at Capital One (senior marketing director roles, managing large P&Ls). He founded the company to create better consumer finance tools, starting with credit card comparisons.
• It's a private entity; no public IPO details. There are pre-IPO share opportunities via platforms like EquityZen for accredited investors, but ownership is closely held with Papadimitriou as a major shareholder. No major external VC disclosures dominate recent info—primarily bootstrapped/grown via operations.

No evidence of shadowy or unusual funding; it operates like many fintech comparison sites.

Revenue Model and "Where Do They Get Their Money?"

WalletHub generates revenue primarily through:

• Affiliate/lead commissions: When users click on or apply for financial products (credit cards, loans, etc.) from advertisers/partners. They disclose this transparently ("Sponsored" labels, full advertiser list). Advertisers pay on clicks, approvals, or account openings.
• Premium subscriptions (WalletHub Premium): Paid tier for advanced budgeting, identity protection, etc. (launched ~2023).
• Advertising enables free tools and content.

They stress editorial independence: Reviews/rankings aren't influenced by advertisers (unlike some competitors that only feature partners). They have a published editorial policy.

Can you pay to get ranked 28th (or any rank)? No credible evidence of pay-to-play. These are data-driven studies using public sources (Census, BLS, FBI, etc.) and proprietary weighting. Cities don't buy spots—rankings are generated internally for traffic, SEO, media mentions, and brand visibility.

The Topeka Ranking Specifically

In the 2026 "Best- & Worst-Run Cities in America" report, Topeka ranked 28th out of 148 large cities. It compares "Quality of City Services" (across financial stability, education, health, safety, economy, infrastructure/pollution—36 metrics total, some weighted more heavily) divided by per-capita budget spending for efficiency ("bang for the buck").

Topeka scored well in certain service areas relative to spending. Methodology is detailed on their site (public data sources listed). Similar reports have drawn local pushback when rankings disappoint, but the framework is consistent year-to-year.

Credibility and "The Deal Behind WalletHub"

Strengths:

• High user ratings (4.7-4.8/5 on app stores, solid Trustpilot).
• Frequently cited by major media (NYT, WaPo, WSJ, USA Today, etc.) for data/expertise.
• Transparent about methodology in reports; uses verifiable public data + some third-party indices (e.g., GreatSchools, Walk Score, Zillow).
• Focus on consumer empowerment; free credit tools are popular.

Criticisms and Caveats:

• Rankings are opinionated by design: Choices of metrics, weights, and normalizations can be debated (e.g., past critiques on education rankings or "green" metrics favoring high-spending areas). Some locals call out perceived biases toward certain policy outcomes or data gaps.
• Affiliate model means commercial incentives exist, though they claim it doesn't taint editorial/rankings.
• Past minor legal spats (e.g., 2014-15 trademark/unfair competition suit with a bank, resolved without major injunction; MLB logo dispute settled by amendment). Nothing indicating systemic fraud.
• Some user complaints on service/support (common for fintech), but not core to credibility of reports.

Overall, WalletHub is a legitimate, established player in personal finance content and tools—not a neutral academic think tank, but a for-profit site producing clickable, data-backed studies to drive traffic and leads. Their city rankings are one of many such efforts (like from other finance sites or think tanks) and should be taken as one data point alongside local knowledge, budgets, and other metrics. No deep conspiracy; it's SEO/media-friendly research from a company whose business is helping consumers navigate finance while monetizing referrals.

For the full report, check directly: wallethub.com/edu/best-run-cities/22869. If you're analyzing Topeka's performance, their methodology page breaks it down by category—worth cross-referencing with official city data.

Step-by-Step: How to Get Started (Kalshi Example)

To make a bet on the Kansas governor's race (or similar elections), use prediction market platforms like Polymarket or Kalshi. These aren't traditional sportsbooks with a "house"—you trade shares with other users, and prices reflect crowd probabilities.

Quick Comparison

Platform	Regulation	Crypto/Fiat	U.S. Access	Best For
Polymarket	CFTC (limited) + offshore	Mostly crypto (USDC)	Restricted for some; VPN/workarounds sometimes used	High volume, politics
Kalshi	Fully CFTC-regulated	Fiat (USD) + bank	Widely available to U.S. users	Compliant, user-friendly

Kalshi is generally easier/safer for U.S. users (including Kansas). Check eligibility on the site.

Step-by-Step: How to Get Started (Kalshi Example)

1. Visit the site/app: Go to kalshi.com (or Polymarket.com). Download the app if preferred.
2. Sign up: Create an account with email/phone. Verify identity (KYC: driver's license, SSN, etc.—standard for regulated platforms).
3. Deposit funds:
   • Kalshi: Bank transfer, ACH (fiat USD).
   • Polymarket: Crypto wallet (e.g., transfer USDC).
4. Find the market:
   • Search "Kansas Governor", "KS Governor Winner", "Republican win Kansas", etc.
   • Examples: "Will a Republican win the 2026 Kansas Governor race?" (Yes/No shares).
5. Place your trade:
   • Choose Yes or No.
   • Enter amount (e.g., buy $100 of Yes shares at current price, say 72¢ → implies ~72% chance).
   • Confirm. You can sell anytime before resolution to lock in gains/losses.
6. Resolution: After the election (Nov 3, 2026, certified results), winning shares pay $1 each. Losers = $0.

Costs: Small trading fees (check platform). No commissions like some sportsbooks.

Important Notes

• Legal in Kansas? Prediction markets operate in a gray/federal space. Kalshi is CFTC-approved; no major state blocks reported for these platforms, but confirm locally and only use what you're comfortable with. Gambling laws vary—treat it as speculation.
• Risks: You can lose money. Markets can swing on news/whales. Start small.
• Taxes: Winnings may be taxable (report as capital gains or miscellaneous). Platforms often send 1099s.
• Alternatives: Smaller platforms exist, but stick to established ones for liquidity/safety.
• Research first: Look at volume, historical charts, and related markets (primaries, candidates).

For the latest Kansas-specific markets, search directly on the sites (odds change fast). If you're new, many have tutorials or demo modes. Let me know if you need help with a specific platform or market! 

Polymarket's accuracy in past elections is generally strong—especially close to resolution and on high-volume national races—but mixed overall, with notable strengths over polls in 2024 and limitations in efficiency, lower-volume markets, and earlier cycles.

Key Metrics for Evaluation

• Accuracy rate: Percentage of markets resolved correctly (e.g., favorite wins).
• Brier score: Proper scoring rule for probabilistic forecasts (lower is better; 0 = perfect, 1 = worst; ~0.25 for random). Sports oddsmakers often land ~0.18–0.22.
• Calibration: How well implied probabilities match real outcomes (e.g., events priced at 70% should happen ~70% of the time).
• Comparison: Vs. polls, models (e.g., FiveThirtyEight, Nate Silver), or other markets.

Polymarket (launched 2020) has limited pre-2024 election history, with explosive growth in 2024 politics ($3+ billion volume on the presidential race alone).

2024 U.S. Presidential Election (Strong Performance)

Polymarket was one of the better forecasters:

• Correctly signaled Trump's victory when many polls/models showed a toss-up or slight Harris edge. Late markets had Trump as a clear favorite (~55-60%+ in final stretches).
• Outperformed national polls in swing states per Bayesian analyses (Vanderbilt study). Implied probabilities tracked closely to final vote shares in key areas.
• Early calls: Predicted Biden withdrawal probability spiking to 70% post-debate (well before announcement). Correctly favored Walz over Shapiro as VP pick.
• Caveats: Large "whale" bets (e.g., one French trader ~$30M+ on Trump) caused swings and potential temporary distortions. Diverged from other markets/polls mid-cycle. One analysis of thousands of 2024 political markets found Polymarket at ~67% accuracy (lower than PredictIt ~93%, Kalshi ~78%), with inefficiencies like arbitrage opportunities.

Overall, a win for the platform and "wisdom of crowds" narrative in a high-liquidity environment.

Broader Track Record (2020s Elections and Markets)

• Political markets: Strongest category. One analysis (thousands of resolved markets): ~81% accuracy on binary electoral outcomes, ~74% multi-candidate, Brier ~0.164. Overall platform Brier often ~0.047–0.187 depending on scope/timeframe.
• Near-event accuracy: ~90% a month out, up to 94% hours before resolution (per Dune dashboard analyses excluding extremes). Politics performs well close to election day.
• Pre-2024/Other cycles: Limited U.S. presidential data (platform young). Mixed results in some international or lower-volume races; markets can lag local info or be overconfident early. Some studies show prediction markets historically competitive with or better than polls but not infallible (e.g., past cycles had misses like over-favoring certain candidates).
• Midterms/Other: Competitive with models; accurate on clear favorites but noisier on close/niche races (e.g., congressional). Lower liquidity leads to more variance.

Strengths

• Financial incentives + crowd aggregation often incorporate info faster than polls (e.g., scandals, turnout signals).
• High volume improves reliability (presidential >> down-ballot).
• Transparent, real-time, and probabilistic.

Weaknesses and Criticisms

• Manipulation/Whales: Large bets can skew prices temporarily (investigated but often not "manipulative" in intent).
• Inefficiencies: Prices diverge across platforms; not always efficient (arbitrage exists); can reflect trader demographics more than electorate.
• Not a crystal ball: Overconfident early; weaker on low-volume or complex outcomes. One view: Good single data point in 2024 but jury still out broadly.
• Bias risks: Crypto-heavy user base may lean certain ways; volume concentration matters.

In summary, Polymarket has built a credible track record, particularly shining in the high-stakes 2024 cycle where it outperformed polls on the presidential outcome. It's a useful signal (especially late and on major races) but best used alongside polls, fundamentals, and other data—not in isolation. For gubernatorial or state races like Kansas 2026, expect solid directional accuracy if volume builds, but watch for liquidity issues. Performance improves as events near.

Sources include academic analyses, Dune dashboards, platform data, and post-election reviews. Accuracy claims can vary by methodology/time window. 

Prediction markets like Polymarket and Kalshi (not traditional sportsbooks with house-set odds) are the main platforms offering bets/markets on the 2026 Kansas gubernatorial race.

These are crowd-sourced—users (traders) buy and sell "shares" in yes/no outcomes (e.g., "Will a Republican win?"), and the market prices (e.g., 70¢ for Yes = ~70% implied probability) emerge from supply/demand. There is no single "odds maker" or bookmaker setting lines centrally. The "wisdom of the crowd" (with money on the line) determines the odds in real time.

Main Platforms for Kansas Governor Markets

• Polymarket: Has active markets on the Kansas governor winner (Republican vs. Democrat) and primaries (e.g., Republican primary winner, with heavy favor for Ty Masterson). High volume on politics.
• Kalshi: Similar markets (e.g., Republican win probability around 70-73% in recent snapshots). CFTC-regulated, fully legal for U.S. users.

Other smaller ones or aggregators exist, but these two dominate visibility for U.S. elections.

Who Runs the Sites?

• Polymarket: Founded in 2020 by Shayne Coplan (CEO, New Yorker, NYU dropout). It's cryptocurrency-based (often on Polygon, USDC), headquartered in NYC. Backed by big investors (e.g., Intercontinental Exchange). Faced CFTC issues early on but has grown massively (billions in volume, especially 2024 elections). Coplan has been outspoken about its accuracy.
• Kalshi: Founded in 2018 by Tarek Mansour (CEO, ex-Goldman/Citadel quant trader) and Luana Lopes Lara (co-founder). CFTC-regulated exchange (first for event contracts). Based in the U.S., focuses on compliance. Valued highly (tens of billions in some reports) with strong growth in elections/sports.

These are tech/fintech startups, not traditional Vegas bookies. They profit from trading fees, not by taking the other side of bets.

Performance and Accuracy Over the Years

Prediction markets have a strong general track record for elections (often better than polls due to financial incentives aligning information), but they're not perfect and can have inefficiencies, manipulation risks, or biases from trader demographics/liquidity.

• Strengths: They aggregate diverse info quickly and have beaten polls in several cycles (e.g., Polymarket outperformed in 2024 presidential, correctly signaling Trump strength when many polls didn't). Studies show high accuracy close to events (e.g., Polymarket ~90-94% in some analyses near resolution; strong on binary outcomes).
• Weaknesses/Limitations: Can diverge across platforms; susceptible to large bets skewing prices (e.g., 2024 Polymarket Trump spikes from big traders); lower accuracy on niche/low-volume markets; historical misses in some cycles (e.g., over- or under-estimating in past U.S. races). One 2024 analysis found varying accuracy (PredictIt high, others lower in some subsets). Not "house odds" but crowd-driven, so liquidity and incentives matter.

For Kansas specifically, markets lean heavily Republican (open seat after term-limited Democrat Laura Kelly, in a red state), but they're dynamic and reflect current sentiment/trading rather than a guaranteed forecast.

Bottom line: No central odds-setters—the crowd does it via these platforms run by Coplan (Polymarket) and Mansour/Lopes Lara (Kalshi). They've been directionally right on many big races recently but treat them as informed probabilities, not certainties (always cross-check with polls, fundamentals, etc.). For the latest Kansas odds, check the sites directly as they fluctuate.