Which Small Cities Are Rising Hotspots for Financial Prosperity?

Name: Which Small Cities Are Rising Hotspots for Financial Prosperity?
Item: Which Small Cities Are Rising Hotspots for Financial Prosperity?
Author: Anja Solum, CEPF

By Anja Solum, CEPF

Edited by Megan Hull

Updated: November 1, 2024

Advertising & Editorial Disclosure

Small cities offer a sense of small-town community while providing access to big-city resources. They also combine the economic advantages of a lower cost of living with the lifestyle benefits of urban proximity, diverse culture and recreation.

MoneyGeek analyzed economic growth and prosperity indicators for 211 cities with populations of 63,000 to 100,000 to uncover which small cities in America are up and coming. Small cities in Florida rank at the top of the list, and more often than not, people moving to or living in the highest-ranking cities are staying there.

KEY FINDINGS

North Port, Florida, is the No. 1 up-and-coming small city, seeing increases of 28% in population and 43% in housing units since 2017. Median household income is $78,587, up 46% over the same period.
Florida and Texas show significant growth potential and are home to 20 and 14 cities of the most up-and-coming cities, respectively. Texas cities, in particular, show promise in housing development and new businesses.
Kissimmee, Florida, leads in attracting newcomers, ranking No. 1 in net migration, No. 36 in average annual GDP growth and No. 31 in five-year housing unit change.

Most Up-and-Coming Small Cities in the US

North Port, Florida, and New Braunfels, Texas, take the No. 1 and No. 2 spots in our study, setting the pace for growth and prosperity. This pattern of expansion is mirrored across the region, with cities like Tamarac, Florida, and Georgetown, Texas, also earning their spots among the top contenders. Just one Western city ranks in the top 10: South Jordan, Utah.

Southern Florida cities like Tamarac, Boynton Beach, Deerfield Beach and Homestead lead with high population growth between 2017 and 2022 and high average annual GDP growth. Homestead's 46% spike in the number of housing units makes it the No. 2 for that measure, while Boynton Beach’s property crime per 100,000 residents (492) was the fourth-best of the cities analyzed.

View the table below to see the cities that made it into MoneyGeek's top 10 list, followed by a regional breakdown of cities that made it into the top 50.

10 MOST UP-AND-COMING SMALL CITIES FOR FINANCIAL PROSPERITY

	City	Avg. Annual GDP Growth	Median Household Income	Unemployment Rate	5-Year Population Growth
1.	North Port, FL	3.5%	$78,587	3.2%	28.4%
2.	New Braunfels, TX	6.8%	$79,336	3.2%	19.8%
3.	Tamarac, FL	4.0%	$54,574	2.9%	9.5%
4.	Georgetown, TX	6.9%	$97,533	3.1%	22.4%
5.	Boynton Beach, FL	4.8%	$66,472	3.1%	4.1%
6.	Deerfield Beach, FL	4.0%	$65,465	2.9%	7.7%
7.	South Jordan, UT	3.2%	$118,560	2.5%	17.7%
8.	Fort Myers, FL	4.3%	$62,981	3.1%	20.0%
9.	Palm Coast, FL	5.7%	$68,434	3.7%	11.3%
10.	Homestead, FL	3.6%	$60,530	1.4%	16.7%

Northeast

Despite having the fewest number of cities included (28), one-quarter of these Northeastern small cities rank in the top 50 for financial prosperity. Three of these are located in Massachusetts — Lawrence, Somerville, Newton — and the remaining are Nashua, New Hampshire; Portland, Maine; Pawtucket, Rhode Island; and Norwalk, Connecticut. In these cities, income growth surpassed 22% over five years, with Newton being an exception at 13%. Additionally, most of the businesses in these cities have been in business for more than 10 years and (excluding Lawrence) experience relatively low crime rates.

MOST UP-AND-COMING SMALL CITIES FOR FINANCIAL PROSPERITY IN THE NORTHEAST

Overall Rank	City	Median Household Income	5-Year % Change in Population	5-Year % Change in Housing Units	Businesses Operating for ≥10 Years	Unemployment Rate (%)
11	Nashua, NH	$96,911	3.2%	6.6%	62.4%	2.7%
22	Portland, ME	$69,046	2.3%	12.6%	52.5%	2.7%
27	Lawrence, MA	$60,632	9.7%	11.4%	62.2%	2.9%
29	Somerville, MA	$124,110	-2.0%	2.8%	62.2%	2.5%
42	Pawtucket, RI	$63,173	4.2%	9.3%	63.5%	3.5%
43	Norwalk, CT	$107,140	2.7%	8.6%	52.4%	3.7%
44	Newton, MA	$163,074	-1.8%	3.7%	62.2%	2.5%

Midwest

Among the study's top 10 cities, the Midwest is represented by six, including Plymouth and Woodbury, Minnesota; O’Fallon and St. Charles, Missouri; and Rapid City, South Dakota. These cities excel with low unemployment rates, ranking them in the top 30. Notably, O’Fallon, Plymouth and Woodbury report lower crime rates, with Woodbury also experiencing a significant 13% population growth. Rapid City is recognized for its business longevity, with 64% of businesses operating for 10 years or longer.

MOST UP-AND-COMING SMALL CITIES FOR FINANCIAL PROSPERITY IN THE MIDWEST

Overall Rank	City	Median House- hold Income	5-Year % Change in Popu- lation	5-Year % Change in Housing Units	Businesses Operating for ≥ 10 Years	Unemploy- ment Rate (%)
16	O'Fallon, MO	$105,240	6.9%	14.5%	52.2%	2.4%
33	St. Charles, MO	$85,798	1.2%	7.7%	52.2%	2.4%
38	Rapid City, SD	$59,397	5.9%	10.8%	63.5%	1.7%
39	Plymouth, MN	$106,858	0.4%	10.0%	51.3%	1.9%
49	Woodbury, MN	$117,201	12.6%	21.2%	51.3%	1.7%
50	Farmington Hills, MI	$104,593	2.1%	2.6%	52.3%	3.1%

South

Southern cities — nearly half of those considered — feature prominently in the top 50, driven by Florida's strong performance and complemented by cities across other Southern states such as Mount Pleasant, South Carolina; Rogers, Arkansas; Franklin, Tennessee; and Hoover, Alabama. These cities are part of a regional trend that sees strong housing growth, led by Georgetown, Texas.

Kissimmee, Florida, tops the net migration category with a significant influx of residents (7,000 new residents in 2022). Johnson City, Tennessee, also stands out for doubling its number of new businesses since 2022.

MOST UP-AND-COMING SMALL CITIES FOR FINANCIAL PROSPERITY IN THE SOUTH

Overall Rank	City	Median House- hold Income	5-Year % Change in Popu- lation	5-Year % Change in Housing Units	Businesses Operating for ≥ 10 Years	Unemploy- ment Rate (%)
1	North Port, FL	78,587	28.4%	42.5%	50.3%	3.2%
2	New Braunfels, TX	79,336	19.8%	34.3%	57.3%	3.2%
3	Tamarac, FL	54,574	9.5%	16.6%	38.6%	2.9%
4	Georgetown, TX	97,533	22.4%	46.4%	35.8%	3.1%
5	Boynton Beach, FL	66,472	4.1%	29.2%	38.6%	3.1%
6	Deerfield Beach, FL	65,465	7.7%	10.6%	38.6%	2.9%
8	Fort Myers, FL	62,981	20.0%	30.0%	38.8%	3.1%
9	Palm Coast, FL	68,434	11.3%	24.6%	45.9%	3.7%
10	Homestead, FL	60,530	16.7%	46.1%	38.6%	1.4%
12	Daytona Beach, FL	51,881	14.5%	26.6%	45.9%	3.3%
12	Mount Pleasant, SC	114,237	9.1%	18.8%	51.7%	2.4%
14	Mansfield, TX	119,508	11.0%	7.2%	38.0%	3.3%
15	Rogers, AR	81,770	9.9%	13.1%	53.7%	2.3%
17	Cedar Park, TX	114,735	6.6%	28.2%	35.8%	3.1%
18	Sunrise, FL	74,047	2.1%	20.9%	38.6%	2.9%
19	Fayetteville, AR	52,991	16.5%	21.5%	53.7%	2.1%
20	Port Charlotte, FL	64,195	5.5%	5.5%	54.6%	3.4%
21	Missouri City, TX	101,775	3.2%	22.5%	47.0%	3.6%
23	Franklin, TN	108,354	11.0%	14.5%	43.8%	2.6%
24	Hoover, AL	103,194	8.8%	3.2%	52.0%	2.4%
25	Temple, TX	63,219	20.1%	17.5%	68.2%	3.9%
28	Johnson City, TN	55,228	8.6%	3.6%	78.8%	3.4%
30	Melbourne, FL	64,331	5.4%	11.0%	46.9%	3.2%
31	Deltona, FL	73,115	7.2%	2.6%	45.9%	3.3%
32	Flower Mound, TX	144,901	1.8%	13.0%	38.0%	3.1%
34	Bowling Green, KY	45,812	11.7%	25.9%	70.2%	3.7%
35	Harlingen, TX	50,166	9.5%	43.7%	57.8%	4.7%
36	Kissimmee, FL	44,445	12.5%	16.2%	44.7%	3.7%
45	Baytown, TX	60,787	10.7%	19.2%	47.0%	3.8%
46	Springdale, AR	59,027	4.2%	17.5%	53.7%	2.1%
48	Rock Hill, SC	62,589	3.1%	13.6%	50.8%	2.8%

West

Despite leading in the number of small cities analyzed, the West ties with the Midwest for the lowest number of cities that rank in the top 50. South Jordan, Utah, stands out in the top 10 with a 27% increase in housing growth and a low violent crime rate (66 reports per 100,000 people).

Avondale, Arizona; Lake Forest, California; San Marcos, California; and Kirkland, Washington, follow as the region's best, with impressive housing growth and rich entertainment options. Carmichael, California, stands out for its 25% population increase and 31% increase in housing units between 2017 and 2022.

MOST UP-AND-COMING SMALL CITIES FOR FINANCIAL PROSPERITY IN THE WEST

Overall Rank	City	Median House- hold Income	5-Year % Change in Popu- lation	5-Year % Change in Housing Units	Businesses Operating for ≥ 10 Years	Unemploy- ment Rate (%)
7	South Jordan, UT	$118,560	17.7%	26.7%	53.1%	2.5%
26	Avondale, AZ	$66,801	9.0%	18.1%	39.7%	3.5%
37	Lake Forest, CA	$128,033	1.6%	9.0%	41.7%	3.8%
40	San Marcos, CA	$103,595	-1.4%	6.7%	41.7%	4.2%
41	Kirkland, WA	$130,620	4.0%	12.2%	43.6%	3.9%
46	Carmichael, CA	$81,823	24.5%	31.4%	33.6%	4.6%

Top Small Cities for Economic Growth

Cities like North Port, Florida, and Georgetown, Texas, showcase impressive gains in population and housing. Over the five years analyzed, North Port's population surged by 28%. Georgetown followed closely with a 22% increase in population while also leading in housing growth with an impressive 46% rise. New Braunfels, Texas, shows economic growth with a 7% average annual GDP growth, while Lodi, California, saw an increase of 70% in median household income between 2017 and 2022, resting at $88,440.

When it comes to business growth, Johnson City, Tennessee, ranks highest with new businesses (those three years or younger), more than doubling its number of businesses between 2018 and 2021. Additionally, several Midwestern cities saw high percentages of businesses operating for 10 years or longer, particularly in Illinois, Minnesota, Oklahoma, Ohio, Wisconsin and Iowa.

TOP SMALL CITIES FOR ECONOMIC GROWTH

Economic Growth Factor	Top City
5-Year Pop % Change	North Port, FL
Avg. Annual GDP Growth	The Villages, FL
5-Year Income % Change	Lodi, CA
5-Year Housing % Change	Georgetown, TX
% Change in No. of New Businesses*	Johnson City, TN

*In this analysis, we defined "new businesses" as those operating for three years or less.

Top Cities for Community Well-Being: A Snapshot of Unemployment, Crime and Access to Entertainment and Dining

There’s more to financial prosperity than economic growth indicators. To capture a better picture of the appeal of these cities, we also considered livelihood factors such as unemployment rates, crime rates and entertainment and dining access.

Lynwood and Redondo Beach in California top our list for entertainment and dining options, with 654 and 608 related businesses per 100,000 people, respectively. Across the country, The Villages and Weston in Florida lead with the lowest violent crime rates of 27 and 40 per 100,000. Economic stability is highlighted in the counties where Bismarck, North Dakota, and Ellicott City, Maryland, are located, with unemployment rates at approximately 1%.

TOP SMALL CITIES FOR COMMUNITY WELL-BEING

Livelihood Factor	Top City
Unemployment Rate	Bismarck, ND
Violent Crime Rate (per 100,000 People)	The Villages, FL
Property Crime Rate (per 100,000 People)	Waukegan, IL
Entertainment And Dining Access, Per 100,000 People	Lynwood, CA

What to Consider Before Moving to a Growing Small City

If small-city life appeals to you, there are several steps you can take to arm yourself with the financial knowledge to navigate relocation and buying a home smoothly.

Make safety a factor

Researching the safest small cities can help you find a location where you feel secure and at ease.

Consider the cost of living

Analyze the cost of living in your chosen city to see how relocating might affect your budget.

Calculate your new mortgage costs

Use a mortgage calculator to get a clear picture of your monthly housing costs and find the most financially savvy home loan.

Manage your credit score

Homeownership can be more affordable in your new city with a better credit score, opening the door to lower mortgage rates. Understanding how credit scores are calculated and how your debt-to-income ratio plays a part can help you manage this financial identifier.

Methodology

To determine which up-and-coming small cities are the most promising for financial growth, MoneyGeek analyzed data for 211 metro areas across the U.S. with populations between 65,000 and 100,000. We compared these metros across 11 key metrics on growth indicators and community well-being.

Growth Indicators: We considered changes in population, income and housing units (2017–2022), average annual GDP growth rate change (2020–2022) and change in the number of new businesses operating for three years or less (2018–2021). Additionally, we considered the percentage of businesses operating for 10 years or longer (2021) and net migration (2022). Data utilized comes from the Census Bureau’s one-year 2022 American Community Survey, the Bureau of Economic Analysis’ Gross Domestic Product by County dataset and the Census Bureau’s Annual Business Surveys, which collect data at the county level.
Community Well-Being: This study examines unemployment rates from the Bureau of Labor Statistics’ Local Area Unemployment Statistics (LAUS), the density of entertainment, dining, and recreation venues per 1,000 residents based on the Census Bureau’s 2021 County Business Patterns Survey, and crime rates per 100,000 residents from the FBI's 2022 Crime Data Explorer database and NeighborhoodScout.com.

Each metro was ranked in every metric, which was then used to calculate a final ranking score through a weighted average. Each metric was given full weight except for percentage change in the number of new businesses, percentage of businesses operating for 10 years or more, net migration, violent crime and property crime — all of which were half-weighted. The metro with the highest final ranking score ranks as the most up-and-coming small city.

Full Dataset

Dive into the data below to explore how notable housing growth in Southern cities and vibrant entertainment and dining scenes in California cities — like Lynwood and Redondo Beach — defined the most promising up-and-coming small cities.

Rank	City	5-Year Population % Change	Avg. Annual GDP Growth	% Change in New Businesses (≤ 3 Years)	% of Businesses Operating for 10 Years or More	Median Household Income	5-Year Income % Change	5-Year Housing Unit % Change	Net Migration in 2022	Entertainment, Dining & Recreation Businesses per 1,000 People	Unemployment Rate (%)	Violent Crime per 100,000 Residents	Property Crime per 100,000 Residents
1	North Port, FL	28.4%	3.5	-41.8%	50.3%	78,587	46.4%	42.5%	1,409	13.0	3.2	119.6	944
2	New Braunfels, TX	19.8%	6.8	14.1%	57.3%	79,336	34.9%	34.3%	4,485	4.5	3.2	187.8	1,414
3	Tamarac, FL	9.5%	4.0	-30.6%	38.6%	54,574	30.8%	16.6%	1,473	68.6	2.9	139.1	1,250
4	Georgetown, TX	22.4%	6.9	-35.5%	35.8%	97,533	35.8%	46.4%	3,235	14.0	3.1	159.5	1,257
5	Boynton Beach, FL	4.1%	4.8	-30.6%	38.6%	66,472	29.4%	29.2%	1,024	47.1	3.1	108.8	492
6	Deerfield Beach, FL	7.7%	4.0	-30.6%	38.6%	65,465	41.6%	10.6%	1,241	56.8	2.9	218.9	1,649
7	South Jordan, UT	17.7%	3.2	-36.0%	53.1%	118,560	14.5%	26.7%	160	31.2	2.5	65.7	1,358
8	Fort Myers, FL	20.0%	4.3	30.8%	38.8%	62,981	38.4%	30.0%	2,595	17.8	3.1	520.1	1,984
9	Palm Coast, FL	11.3%	5.7	11.9%	45.9%	68,434	38.0%	24.6%	3,793	2.0	3.7	178.8	714
10	Homestead, FL	16.7%	3.6	-30.6%	38.6%	60,530	27.6%	46.1%	-1,653	80.3	1.4	933.9	2,277
11	Nashua, NH	3.2%	3.6	-15.5%	62.4%	96,911	37.9%	6.6%	367	10.9	2.7	157.1	1,069
12	Daytona Beach, FL	14.5%	2.5	11.9%	45.9%	51,881	56.1%	26.6%	2,812	16.7	3.3	928.3	2,675
12	Mount Pleasant, SC	9.1%	2.5	-43.5%	51.7%	114,237	25.2%	18.8%	1,059	15.5	2.4	126.7	1,418
14	Mansfield, TX	11.0%	2.5	-37.0%	38.0%	119,508	34.7%	7.2%	-31	58.9	3.3	80.3	1,417
15	Rogers, AR	9.9%	6.1	-38.1%	53.7%	81,770	35.1%	13.1%	-1,399	7.5	2.3	395.2	2,134
16	O'Fallon, MO	6.9%	3.1	-50.1%	52.2%	105,240	22.6%	14.5%	1,593	9.5	2.4	94.1	719
17	Cedar Park, TX	6.6%	6.9	-35.5%	35.8%	114,735	15.4%	28.2%	1,985	15.1	3.1	107.1	1,322
18	Sunrise, FL	2.1%	4.0	-30.6%	38.6%	74,047	19.6%	20.9%	262	51.2	2.9	132.9	1,224
19	Fayetteville, AR	16.5%	4.2	-38.1%	53.7%	52,991	25.1%	21.5%	2,667	5.9	2.1	503.9	4,033
20	Port Charlotte, FL	5.5%	4.6	50.0%	54.6%	64,195	22.7%	5.5%	3,861	4.7	3.4	89.0	633
21	Missouri City, TX	3.2%	2.6	-38.1%	47.0%	101,775	32.9%	22.5%	455	19.3	3.6	158.0	1,188
22	Portland, ME	2.3%	4.4	-45.4%	52.5%	69,046	22.6%	12.6%	3,483	16.3	2.7	184.8	1,685
23	Franklin, TN	11.0%	6.1	-38.8%	43.8%	108,354	12.6%	14.5%	1,266	9.8	2.6	195.2	1,032
24	Hoover, AL	8.8%	1.9	5.7%	52.0%	103,194	22.8%	3.2%	1,212	16.3	2.4	97.3	1,560
25	Temple, TX	20.1%	2.5	46.8%	68.2%	63,219	20.6%	17.5%	4,700	7.3	3.9	352.6	1,751
26	Avondale, AZ	9.0%	4.6	-35.3%	39.7%	66,801	20.4%	18.1%	1,688	99.0	3.5	419.8	3,157
27	Lawrence, MA	9.7%	0.9	-50.4%	62.2%	60,632	46.1%	11.4%	-688	23.1	2.9	502.1	904
28	Johnson City, TN	8.6%	3.4	120.5%	78.8%	55,228	54.7%	3.6%	4,251	4.1	3.4	375.1	3,419
29	Somerville, MA	-2.0%	3.2	-50.4%	62.2%	124,110	38.7%	2.8%	1,222	51.3	2.5	252.6	1,383
30	Melbourne, FL	5.4%	4.6	-54.8%	46.9%	64,331	46.3%	11.0%	3,752	14.9	3.2	598.1	2,609
31	Deltona, FL	7.2%	2.5	11.9%	45.9%	73,115	37.5%	2.6%	-356	13.4	3.3	361.8	655
32	Flower Mound, TX	1.8%	8.4	-37.0%	38.0%	144,901	8.5%	13.0%	522	24.8	3.1	47.3	777
33	St. Charles, MO	1.2%	3.1	-50.1%	52.2%	85,798	35.0%	7.7%	225	12.5	2.4	212.4	1,747
34	Bowling Green, KY	11.7%	4.1	31.5%	70.2%	45,812	12.2%	25.9%	2,236	3.7	3.7	284.8	3,817
35	Harlingen, TX	9.5%	2.5	-43.0%	57.8%	50,166	31.2%	43.7%	1,707	10.4	4.7	323.4	2,823
36	Kissimmee, FL	12.5%	3.7	-29.4%	44.7%	44,445	11.5%	16.2%	6,783	12.3	3.7	409.0	1,695
37	Lake Forest, CA	1.6%	1.7	-42.8%	41.7%	128,033	28.1%	9.0%	-652	107.1	3.8	121.7	1,054
38	Rapid City, SD	5.9%	2.7	-3.7%	63.5%	59,397	19.7%	10.8%	1,427	4.7	1.7	681.5	3,586
39	Plymouth, MN	0.4%	2.1	-46.9%	51.3%	106,858	9.3%	10.0%	-910	40.6	1.9	58.5	1,255
40	San Marcos, CA	-1.4%	3.0	-44.8%	41.7%	103,595	35.8%	6.7%	358	87.8	4.2	217.1	1,061
41	Kirkland, WA	4.0%	4.6	-54.5%	43.6%	130,620	22.4%	12.2%	142	74.8	3.9	115.9	2,363
42	Pawtucket, RI	4.2%	0.9	-49.0%	63.5%	63,173	39.2%	9.3%	678	23.9	3.5	286.8	2,253
43	Norwalk, CT	2.7%	0.6	-54.2%	52.4%	107,140	52.5%	8.6%	1,314	30.0	3.7	123.6	1,731
44	Newton, MA	-1.8%	3.2	-50.4%	62.2%	163,074	12.9%	3.7%	283	46.8	2.5	64.6	655
45	Baytown, TX	10.7%	1.8	-38.1%	47.0%	60,787	8.5%	19.2%	3,150	116.3	3.8	439.4	3,905
46	Carmichael, CA	24.5%	1.8	-38.1%	33.6%	81,823	17.6%	31.4%	953	39.6	4.6	394.4	1,653
46	Springdale, AR	4.2%	4.2	-38.1%	53.7%	59,027	15.4%	17.5%	-462	6.8	2.1	545.7	2,523
48	Rock Hill, SC	3.1%	4.1	-38.2%	50.8%	62,589	18.8%	13.6%	2,360	7.0	2.8	479.4	2,679
49	Woodbury, MN	12.6%	-0.9	-46.9%	51.3%	117,201	16.0%	21.2%	1,049	6.7	1.7	96.8	1,476
50	Farmington Hills, MI	2.1%	1.3	-40.9%	52.3%	104,593	26.6%	2.6%	-495	38.5	3.1	143.7	1,162
51	Johns Creek, GA	-2.3%	1.6	-32.0%	45.3%	149,145	35.0%	-3.1%	1,583	47.3	3.4	41.5	475
52	New Rochelle, NY	2.9%	0.9	-52.8%	45.1%	102,682	21.5%	12.9%	1,130	36.5	3.5	76.2	692
53	Ellicott City, MD	-4.5%	1.3	-6.0%	56.6%	165,588	34.2%	-0.6%	1,086	9.7	1.4	69.6	1,055
54	Southfield, MI	3.1%	1.3	-40.9%	52.3%	65,316	11.1%	19.8%	2,195	42.3	3.1	502.4	2,635
55	Broomfield, CO	11.4%	2.5	-49.4%	40.6%	115,833	27.4%	15.0%	-1,296	11.0	3.4	147.1	2,618
56	Roswell, GA	-1.9%	1.6	-32.0%	45.3%	130,088	57.2%	1.6%	-1,031	41.9	3.4	186.9	1,208
56	Milpitas, CA	-0.5%	6.5	-54.0%	51.9%	169,818	32.7%	9.1%	-1,459	61.3	3.8	253.2	3,657
58	Trenton, NJ	5.5%	5.0	33.6%	60.3%	52,508	64.7%	-6.1%	-1,550	9.7	3.7	1063.0	1,871
59	Jonesboro, AR	5.3%	2.9	32.4%	64.0%	61,057	23.2%	6.2%	1,017	3.0	2.6	646.1	3,324
60	Largo, FL	-2.7%	4.0	-34.3%	41.7%	56,408	30.1%	5.0%	1,189	32.4	2.9	361.5	2,287
60	Weston, FL	-4.6%	4.0	-30.6%	38.6%	130,462	33.2%	-15.8%	-3,079	72.8	2.9	39.9	402
62	Pasco, WA	19.3%	2.8	4.7%	43.2%	76,499	29.2%	20.0%	3,771	1.7	5.3	317.9	2,822
63	Frederick, MD	15.1%	0.8	-46.3%	47.3%	94,767	29.0%	9.2%	-4,240	6.4	1.6	371.7	1,555
64	Reading, PA	7.3%	-0.3	-51.6%	76.8%	43,496	39.6%	6.5%	1,449	8.6	3.1	525.0	1,693
64	Buena Park, CA	-0.7%	1.7	-42.8%	41.7%	102,840	57.9%	3.3%	946	111.2	3.8	246.1	2,911
64	Brooklyn Park, MN	3.4%	2.1	-46.9%	51.3%	80,275	12.7%	12.7%	-1,396	38.3	1.9	381.0	3,298
67	Greenville, SC	6.0%	1.7	-100.0%	58.1%	67,340	27.3%	7.8%	827	18.6	2.7	541.5	3,677
68	Orem, UT	-2.0%	3.6	-32.7%	35.2%	77,718	25.9%	8.0%	-343	11.7	2.6	186.8	1,685
69	Rochester Hills, MI	2.4%	1.3	-40.9%	52.3%	107,137	14.5%	1.4%	-977	42.0	3.1	71.1	672
70	Shawnee, KS	5.7%	1.9	-43.6%	56.2%	101,063	13.3%	2.3%	-2,169	19.6	2	249.9	1,406
71	San Ramon, CA	13.2%	-0.6	-47.6%	44.9%	192,291	18.8%	26.1%	-322	27.4	4.5	65.3	925
72	Bloomington, MN	2.3%	2.1	-46.9%	51.3%	87,282	25.3%	5.7%	-5,805	36.4	1.9	291.8	3,742
73	Santa Fe, NM	6.3%	1.8	-12.3%	62.7%	68,793	20.6%	18.3%	1,533	5.6	3.4	923.3	4,885
74	Parma, OH	0.2%	1.6	-48.4%	56.3%	65,105	19.3%	0.0%	401	39.4	2.9	144.1	899
75	Waldorf, MD	21.8%	-0.7	-46.3%	47.3%	107,462	16.8%	12.9%	2,486	3.3	1.8	350.9	1,314
76	Yorba Linda, CA	-1.7%	1.7	-42.8%	41.7%	151,534	14.0%	8.2%	-521	136.7	3.8	53.3	996
77	Palo Alto, CA	-1.7%	6.5	-54.0%	51.9%	179,707	16.8%	22.1%	-2,748	72.2	3.8	206.4	2,996
78	Troy, MI	4.0%	1.3	-40.9%	52.3%	109,444	14.2%	1.8%	-1,200	36.6	3.1	117.9	1,507
79	Tracy, CA	7.1%	1.6	-32.6%	62.9%	113,083	25.7%	5.2%	2,470	12.7	6.4	297.3	1,516
80	Maple Grove, MN	-0.7%	2.1	-46.9%	51.3%	111,829	1.4%	1.4%	1,898	45.2	1.9	117.0	1,933
81	Duluth, MN	0.7%	-0.6	-10.3%	74.1%	59,583	21.4%	10.6%	4,897	6.3	2.2	289.1	2,913
81	Toms River, NJ	5.7%	2.4	-52.8%	45.1%	92,295	15.9%	5.9%	1,230	14.1	4.1	94.7	964
83	Sandy, UT	-3.2%	3.2	-36.0%	53.1%	104,577	18.2%	4.2%	-1,495	28.0	2.5	177.4	2,562
84	Plantation, FL	2.3%	4.0	-30.6%	38.6%	82,830	12.2%	1.8%	-944	51.3	2.9	264.9	2,505
85	Medford, OR	4.6%	2.3	39.5%	43.8%	67,303	37.8%	8.2%	-2,466	7.3	3.8	371.8	4,105
86	Rancho Cordova, CA	9.6%	1.8	-38.1%	33.6%	82,178	28.2%	9.7%	-1,935	40.3	4.6	471.4	2,232
87	Folsom, CA	6.7%	1.8	-38.1%	33.6%	129,045	10.7%	5.7%	2,114	39.0	4.6	138.5	1,459
88	Loveland, CO	1.5%	2.9	23.9%	45.3%	81,149	33.2%	-7.0%	-650	13.3	2.8	333.0	2,663
89	Boca Raton, FL	0.9%	4.8	-30.6%	38.6%	88,620	9.7%	-10.1%	2,006	38.4	3.1	145.5	1,845
90	Edmond, OK	4.8%	-1.3	-43.1%	48.2%	102,896	47.9%	-0.9%	-984	21.9	3.2	159.5	1,623
91	Cicero, IL	-0.8%	0.5	-49.7%	49.2%	67,111	31.1%	13.1%	-1,118	159.5	4.6	287.1	1,377
92	Vista, CA	-3.7%	3.0	-44.8%	41.7%	88,839	30.4%	5.8%	-635	85.2	4.2	382.6	1,472
93	Mountain View, CA	-0.5%	6.5	-54.0%	51.9%	165,448	22.4%	5.1%	-1,009	58.8	3.8	276.7	2,961
94	Appleton, WI	1.4%	-1.2	-100.0%	77.4%	75,262	28.9%	8.4%	822	6.6	2.3	268.8	1,498
95	Skokie, IL	2.4%	0.5	-49.7%	49.2%	97,059	47.5%	0.2%	383	199.4	4.6	207.1	2,363
96	Evanston, IL	1.1%	0.5	-49.7%	49.2%	97,144	24.8%	13.7%	-182	172.9	4.6	177.0	2,451
97	Delray Beach, FL	-2.5%	4.8	-30.6%	38.6%	80,000	26.3%	-3.0%	194	56.8	3.1	402.8	3,218
98	Alpharetta, GA	2.3%	1.6	-32.0%	45.3%	129,946	20.1%	1.5%	-7,235	58.0	3.4	274.7	1,303
99	Cranston, RI	1.5%	0.9	-49.0%	63.5%	76,892	7.9%	11.9%	-622	21.8	3.5	119.2	1,156
100	Bethlehem, PA	3.1%	1.0	-100.0%	61.4%	61,786	15.5%	7.2%	3,016	10.0	3.4	153.5	1,467
101	Carson, CA	-0.4%	1.1	-42.8%	41.7%	98,862	48.0%	7.6%	-710	453.8	5	473.8	2,744
101	Daly City, CA	-6.6%	5.7	-47.6%	44.9%	109,227	20.2%	20.0%	-1,680	20.6	3.3	355.0	2,142
103	Castro Valley, CA	7.1%	2.2	-47.6%	44.9%	133,285	22.8%	-0.9%	-1,341	65.3	4.5	366.9	1,564
104	Lodi, CA	2.1%	1.6	-32.6%	62.9%	88,440	70.4%	8.9%	-1,260	18.4	6.4	715.0	3,169
105	Manteca, CA	9.7%	1.6	-32.6%	62.9%	83,380	16.9%	5.7%	452	14.3	6.4	266.9	1,888
106	Gastonia, NC	7.9%	1.6	-38.2%	50.8%	58,745	25.8%	11.2%	-851	4.9	3.3	787.2	3,938
107	Ames, IA	0.7%	0.9	-37.2%	87.0%	52,565	1.4%	4.1%	5,486	3.4	2.2	218.4	1,282
108	Glen Burnie, MD	1.5%	1.1	-6.0%	56.6%	77,666	24.1%	-0.9%	-1,768	19.6	1.5	525.4	2,263
109	Cheektowaga, NY	2.8%	1.5	-3.3%	57.3%	59,167	10.6%	7.2%	575	30.6	3.9	562.0	2,235
110	Waukesha, WI	-2.8%	0.9	2.3%	56.9%	74,675	22.6%	-8.3%	-254	14.7	2.5	99.8	793
111	Eau Claire, WI	-1.1%	-0.4	34.9%	71.5%	57,289	9.4%	7.3%	3,644	4.3	2.3	138.0	2,227
112	Bolingbrook, IL	4.6%	1.5	-49.7%	49.2%	91,928	-0.9%	18.2%	-1,097	18.7	4.2	220.8	765
113	Miami Beach, FL	-13.3%	3.6	-30.6%	38.6%	69,258	38.1%	-11.0%	-916	81.8	1.4	1074.3	8,557
114	The Villages, FL	-1.4%	8.7	-100.0%	64.5%	75,062	25.4%	-2.9%	3,113	2.1	4.4	26.7	847
115	North Richland Hills, TX	0.3%	2.5	-37.0%	38.0%	82,005	21.8%	-1.5%	-1,630	63.8	3.3	226.8	1,987
116	Victoria, TX	-2.6%	1.2	-23.7%	84.8%	66,060	33.4%	9.7%	-578	3.2	3.5	379.0	2,228
117	Auburn, WA	5.5%	4.6	-54.5%	43.6%	92,622	33.8%	-3.7%	-1,577	82.0	3.9	499.5	5,142
118	Lorain, OH	2.4%	-0.4	-48.4%	56.3%	46,592	43.9%	2.0%	505	8.5	2.8	470.0	1,817
119	Bethesda, MD	0.3%	0.7	-46.3%	47.3%	158,720	-4.6%	7.8%	-227	30.0	1.5	192.6	2,282
120	Bayonne, NJ	3.5%	2.1	-52.8%	45.1%	79,363	31.1%	2.4%	-2,200	24.1	4.4	300.0	1,308
121	Mission, TX	2.6%	1.6	-12.0%	62.4%	53,859	18.9%	4.9%	1,984	14.0	5.3	339.6	1,676
122	Longview, TX	0.0%	0.2	-28.2%	56.8%	65,897	43.0%	9.7%	2,944	4.2	3.9	440.0	2,872
123	Schaumburg, IL	7.1%	0.5	-49.7%	49.2%	92,666	15.5%	5.8%	-3,052	166.9	4.6	91.1	2,130
124	Whittier, CA	-2.7%	1.1	-42.8%	41.7%	91,457	37.5%	8.1%	-3,259	496.1	5	319.5	2,153
125	St. Cloud, MN	6.7%	0.2	-100.0%	100.0%	55,803	21.2%	3.4%	3,179	5.6	1.8	452.7	4,279
125	Danbury, CT	2.0%	0.6	-52.8%	45.1%	88,132	34.4%	-8.0%	1,091	31.5	3.7	137.7	1,306
127	Clifton, NJ	2.4%	-0.7	-52.8%	45.1%	95,147	35.2%	13.8%	2,035	12.6	5.3	104.8	1,931
127	Pittsburg, CA	7.5%	-0.6	-47.6%	44.9%	88,842	35.6%	12.9%	-4,726	30.4	4.5	596.2	2,187
129	Merced, CA	10.2%	0.1	-21.1%	74.3%	64,160	58.1%	7.0%	-220	4.0	8.5	800.5	2,742
130	New Britain, CT	2.3%	0.1	-33.0%	58.8%	50,209	15.2%	5.2%	274	30.2	3.6	362.7	2,062
131	Warwick, RI	2.7%	0.1	-49.0%	63.5%	77,898	5.3%	5.3%	946	5.8	2.9	75.9	1,407
132	Westland, MI	2.8%	0.8	-40.9%	52.3%	56,630	18.1%	4.5%	186	40.2	4.7	453.7	1,288
133	Champaign, IL	2.1%	1.3	-100.0%	100.0%	56,148	28.2%	5.1%	1,431	6.2	3.6	645.8	1,722
134	Asheville, NC	2.0%	1.0	-4.9%	48.7%	64,548	28.6%	2.8%	556	9.9	2.6	937.8	5,133
135	Westminster, CA	-2.3%	1.7	-42.8%	41.7%	85,229	47.1%	-1.2%	-2,488	102.6	3.8	396.7	2,972
136	Bismarck, ND	4.0%	-0.4	-18.6%	63.0%	74,247	18.3%	1.4%	773	3.1	1.3	309.6	3,363
137	Fall River, MA	4.8%	0.9	-49.0%	63.5%	46,789	8.2%	2.7%	1,865	14.1	3.2	991.1	1,232
138	Kenosha, WI	-1.4%	2.0	-49.7%	49.2%	64,105	21.3%	5.6%	801	3.8	3.2	397.6	1,091
138	Eagan, MN	1.4%	-0.8	-46.9%	51.3%	97,838	13.0%	6.3%	-54	12.0	1.7	138.6	2,251
140	Pharr, TX	0.9%	1.6	-12.0%	62.4%	48,631	17.8%	4.5%	-108	15.1	5.3	260.2	1,525
141	Mount Vernon, NY	4.4%	0.9	-52.8%	45.1%	68,075	22.5%	3.5%	-2,919	41.9	3.5	461.7	1,561
142	Iowa City, IA	-0.7%	-0.5	5.8%	73.1%	55,598	10.5%	0.8%	4,367	5.7	2.4	263.5	1,775
143	Rockville, MD	-2.2%	0.7	-46.3%	47.3%	106,338	5.9%	3.0%	-696	30.7	1.5	215.2	1,677
144	Mission Viejo, CA	-4.4%	1.7	-42.8%	41.7%	126,469	23.0%	-8.5%	-2,713	99.9	3.8	90.8	1,117
145	Union City, NJ	-7.2%	2.1	-52.8%	45.1%	58,020	43.4%	2.6%	-284	25.7	4.4	334.8	1,739
146	Wyoming, MI	1.0%	1.9	-45.1%	51.9%	64,499	13.6%	-4.1%	-380	18.8	2.6	513.5	1,728
147	Tustin, CA	-2.6%	1.7	-42.8%	41.7%	104,427	28.5%	-6.9%	-356	117.0	3.8	319.6	2,486
148	Oshkosh, WI	-1.1%	0.0	0.5%	89.1%	58,134	16.3%	1.3%	-407	6.4	2.4	336.7	1,624
149	Wilmington, DE	0.7%	0.0	-42.7%	49.5%	52,768	46.7%	3.3%	732	19.2	3.6	1200.7	3,373
150	Camarillo, CA	3.6%	0.7	10.5%	48.8%	100,594	-0.7%	2.8%	-1,535	29.3	4.7	53.6	1,287
151	Redondo Beach, CA	1.5%	1.1	-42.8%	41.7%	140,786	34.4%	-1.4%	-2,461	608.4	5	412.7	2,284
152	Waukegan, IL	-2.6%	0.7	-49.7%	49.2%	64,299	33.9%	5.8%	-3,247	19.6	4.1	247.5	332
153	Scranton, PA	-2.3%	0.9	-42.4%	57.1%	48,279	34.5%	2.0%	-1,670	7.0	3.2	409.0	1,690
154	Flagstaff, AZ	5.5%	0.3	-50.3%	70.9%	63,612	13.5%	11.8%	3,633	6.4	4.1	491.4	2,403
154	Federal Way, WA	1.2%	4.6	-54.5%	43.6%	76,732	24.2%	2.6%	-2,763	70.4	3.9	550.0	5,252
156	Hawthorne, CA	-3.8%	1.1	-42.8%	41.7%	73,515	46.8%	-0.1%	-545	495.8	5	753.4	2,104
157	Waterloo, IA	-1.5%	1.1	-1.7%	84.4%	52,888	24.9%	-4.3%	327	5.0	3.1	578.9	2,493
158	Fort Smith, AR	2.2%	1.7	56.6%	28.1%	47,669	24.5%	4.7%	4,685	3.2	3.5	1044.3	4,944
159	Gaithersburg, MD	0.3%	0.7	-46.3%	47.3%	95,453	16.3%	-1.7%	-2,086	29.8	1.5	293.0	2,590
160	South Gate, CA	-4.7%	1.1	-42.8%	41.7%	70,939	40.9%	6.0%	-3,852	461.1	5	549.6	3,281
161	Livonia, MI	-0.3%	0.8	-40.9%	52.3%	92,125	11.8%	6.0%	-952	36.1	4.7	244.9	1,726
162	Bellingham, WA	5.5%	-0.1	-31.2%	44.0%	64,748	21.3%	7.8%	4,433	6.5	4.3	406.4	6,513
163	Palatine, IL	-4.6%	0.5	-49.7%	49.2%	92,621	29.0%	-6.0%	-2,225	199.7	4.6	109.1	790
164	Lake Charles, LA	2.6%	-6.5	-45.6%	72.3%	56,666	29.0%	5.6%	-950	5.5	3.2	629.4	3,112
165	Redwood City, CA	-7.1%	5.7	-47.6%	44.9%	137,512	17.6%	-3.4%	-1,393	25.5	3.3	394.0	1,993
166	Germantown, MD	-2.6%	0.7	-46.3%	47.3%	108,426	12.1%	5.3%	-1,881	22.1	1.5	325.1	2,692
167	Newport Beach, CA	-2.5%	1.7	-42.8%	41.7%	127,353	0.2%	-4.5%	1,023	109.2	3.8	187.5	2,076
168	Muncie, IN	-4.8%	1.6	105.6%	64.3%	40,968	34.1%	-6.0%	5,107	3.6	4	482.1	2,718
169	Beaverton, OR	-0.5%	2.4	-55.1%	54.8%	82,916	15.2%	-0.2%	-1,878	14.3	3	306.1	2,735
170	Alhambra, CA	-6.0%	1.1	-42.8%	41.7%	72,406	17.3%	6.1%	-1,474	522.4	5	200.7	2,565
171	Alameda, CA	-4.0%	2.2	-47.6%	44.9%	131,116	45.7%	-7.9%	-4,773	57.1	4.5	311.7	4,299
172	Schenectady, NY	4.9%	1.9	-52.3%	48.2%	55,465	30.3%	-10.0%	1,144	4.9	3.5	757.1	3,422
173	Pleasanton, CA	-7.6%	2.2	-47.6%	44.9%	183,969	20.9%	-5.8%	-1,002	56.6	4.5	110.0	1,768
174	Bloomington, IN	-9.6%	0.6	-50.4%	66.1%	47,360	21.8%	10.5%	3,578	4.6	3.4	507.9	2,339
175	Arlington Heights, IL	-1.2%	0.5	-49.7%	49.2%	113,970	12.1%	-0.2%	-3,819	176.0	4.6	72.3	1,076
176	Lakewood, CA	-2.4%	1.1	-42.8%	41.7%	109,309	30.9%	-1.2%	-2,629	530.4	5	467.9	2,341
177	Santa Barbara, CA	-5.0%	2.6	-42.6%	52.7%	104,001	30.4%	-8.8%	-2,317	14.3	3.9	455.5	2,044
178	East Orange, NJ	4.7%	1.9	-52.8%	45.1%	43,527	-16.6%	5.1%	-706	26.4	5.4	454.4	1,499
179	Marysville, WA	5.0%	-2.3	-54.5%	43.6%	104,433	29.0%	0.3%	-2,555	24.4	3.9	253.5	1,737
180	Bellflower, CA	-1.8%	1.1	-42.8%	41.7%	74,131	23.1%	-1.1%	-140	548.7	5	586.8	2,495
181	Yakima, WA	3.6%	-0.7	16.5%	63.0%	56,821	38.2%	4.1%	-1,531	4.9	5.7	611.8	3,143
182	Citrus Heights, CA	-1.7%	1.8	-38.1%	33.6%	73,923	25.8%	-1.8%	-1,835	37.6	4.6	406.2	2,038
183	Kenner, LA	-5.1%	0.1	-37.6%	50.4%	56,906	-0.2%	6.7%	1,837	18.3	3.3	400.1	2,439
184	Kennewick, WA	3.9%	0.4	4.7%	43.2%	73,800	44.5%	1.7%	-2,278	5.5	4.4	477.3	4,657
185	Livermore, CA	-6.2%	2.2	-47.6%	44.9%	145,919	23.2%	-8.9%	-2,358	51.3	4.5	223.1	1,874
186	Napa, CA	-1.8%	1.2	18.2%	49.1%	94,248	14.4%	2.9%	-2,118	4.6	3.7	324.5	1,479
187	San Leandro, CA	-4.2%	2.2	-47.6%	44.9%	92,651	42.7%	-11.8%	-1,675	50.1	4.5	577.1	4,920
188	Silver Spring, MD	-6.2%	0.7	-46.3%	47.3%	81,557	-3.4%	7.2%	-2,819	27.3	1.5	444.8	3,463
189	Baldwin Park, CA	-9.1%	1.1	-42.8%	41.7%	70,418	4.4%	3.7%	330	603.7	5	458.1	1,592
190	Compton, CA	-5.8%	1.1	-42.8%	41.7%	68,355	35.0%	0.2%	-2,968	455.8	5	1140.5	2,673
191	Erie, PA	-4.0%	-1.4	43.3%	82.6%	43,839	16.2%	-1.4%	3,032	6.7	3.2	607.3	2,264
192	Lynwood, CA	-9.9%	1.1	-42.8%	41.7%	64,481	32.1%	-0.9%	-2,309	654.3	5	801.3	2,518
192	Norwalk, CA	-7.1%	1.1	-42.8%	41.7%	94,851	26.9%	-2.9%	-4,241	425.5	5	385.7	1,871
194	Union City, CA	-11.0%	2.2	-47.6%	44.9%	148,460	26.3%	-7.6%	-1,809	64.8	4.5	429.5	3,536
195	Portsmouth, VA	2.6%	0.3	-35.2%	48.2%	54,611	8.7%	6.1%	3,241	1.8	3.7	875.5	4,881
196	Kalamazoo, MI	-3.9%	3.0	-48.9%	60.5%	43,509	2.9%	3.3%	-1,928	7.9	3	1516.3	4,502
197	Canton, OH	-1.7%	0.1	-55.5%	89.4%	40,711	35.5%	-1.9%	-1,630	11.7	3.2	1180.2	5,547
198	Camden, NJ	-4.7%	0.8	-42.7%	49.5%	37,075	51.1%	-14.5%	740	15.0	4.6	1586.0	2,785
199	Decatur, IL	2.6%	2.8	-100.0%	100.0%	49,714	15.0%	3.9%	-2,298	3.6	5.1	705.1	2,474
200	Roanoke, VA	-2.0%	2.5	-52.7%	62.2%	49,570	13.2%	4.6%	-3,132	3.1	3.2	604.9	4,289
201	Santa Monica, CA	-2.5%	1.1	-42.8%	41.7%	110,030	22.1%	-4.0%	-759	466.1	5	854.5	4,532
202	Madera, CA	3.9%	-0.5	-100.0%	45.1%	67,454	60.1%	-6.8%	-109	3.1	7.2	461.1	1,617
203	Turlock, CA	-1.7%	0.3	-39.6%	58.5%	76,031	27.1%	-2.1%	1,083	13.5	6.4	574.5	2,869
204	Davis, CA	-2.8%	0.6	-38.1%	33.6%	67,373	-7.5%	9.7%	3,307	6.5	4.8	254.0	2,815
205	Passaic, NJ	-3.0%	-0.7	-52.8%	45.1%	51,551	40.4%	0.0%	-520	16.2	5.3	543.5	2,009
206	Hammond, IN	-0.1%	0.3	-49.7%	49.2%	53,878	17.1%	2.5%	1,094	14.1	5	670.5	3,347
207	Walnut Creek, CA	-1.2%	-0.6	-47.6%	44.9%	106,141	6.0%	-4.4%	1,244	34.2	4.5	245.0	3,171
208	Flint, MI	-17.2%	-2.0	0.6%	59.9%	33,036	22.8%	-23.8%	-129	8.8	4	1230.3	1,308
209	Redding, CA	1.2%	-0.9	-100.0%	70.5%	68,551	36.2%	-0.2%	-2,291	4.3	5.2	633.0	2,793
210	Gary, IN	-11.4%	0.3	-49.7%	49.2%	36,153	35.6%	-8.6%	-1,331	16.0	5	479.8	3,131
211	Lawton, OK	-2.3%	-0.2	-56.1%	90.9%	50,969	7.1%	0.5%	-2,584	2.5	4	837.4	2,072

About Anja Solum, CEPF

Anja Solum is a certified educator in personal finance and the Data Journalism Manager at MoneyGeek. For over six years, she has produced data analyses and studies for agency and in-house teams across multiple verticals.

Solum holds a bachelor's degree in communication arts from Florida International University. She's passionate about using data to tell compelling, informed stories that empower readers.

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