2017’s Best & Worst Places for First-Time Home Buyers
3:03 AMPosted by: Richie Bernardo
Buying a home for the first time is an exciting and important milestone for many Americans. As such, first-time home buyers must carefully consider a number of factors — what they want and need relative to what they can afford, for instance — before diving to the deep end of real estate.
Often, potential buyers begin searching for their dream homes and drafting their wish lists without a realistic idea of market prices, interest rates or even their eligibility to obtain a mortgage.
To simplify the process, WalletHub’s analysts compared 300 cities of varying sizes across 23 key indicators of market attractiveness, affordability and quality of life. Our data set ranges from cost of living to real-estate taxes to property-crime rate. Read on for our findings, valuable insight from a panel of experts and a full description of our methodology.
Main FindingsEmbed on your website<iframe src="//d2e70e9yced57e.cloudfront.net/wallethub/embed/5564/geochart-homebuyer.html" width="556" height="347" frameBorder="0" scrolling="no"></iframe> <div style="width:556px;font-size:12px;color:#888;">Source: <a href="http://ift.tt/2twZFYs;
Rankings by City Size
Rank (1= Best) |
Large Cities (Score) |
Rank (1= Best) |
Midsize Cities (Score) |
Rank (1= Best) |
Small Cities (Score) |
---|---|---|---|---|---|
1 | Raleigh, NC (64.192) | 1 | McKinney, TX (68.318) | 1 | Frisco, TX (68.197) |
2 | Lexington, KY (63.993) | 2 | Cary, NC (67.982) | 2 | Allen, TX (68.148) |
3 | Colorado Springs, CO (63.536) | 3 | Lincoln, NE (66.605) | 3 | Norman, OK (67.638) |
4 | Tampa, FL (63.236) | 4 | Boise, ID (66.264) | 4 | Richardson, TX (66.32) |
5 | Fort Worth, TX (63.147) | 5 | Gilbert, AZ (65.369) | 5 | Thornton, CO (66.036) |
6 | Omaha, NE (62.933) | 6 | Grand Rapids, MI (65.174) | 6 | Murfreesboro, TN (65.972) |
7 | El Paso, TX (62.773) | 7 | Overland Park, KS (64.804) | 7 | Denton, TX (65.831) |
8 | Nashville, TN (62.302) | 8 | Fort Wayne, IN (64.562) | 8 | Greeley, CO (65.632) |
9 | Oklahoma City, OK (61.984) | 9 | Peoria, AZ (64.468) | 9 | Charleston, SC (65.328) |
10 | Denver, CO (61.655) | 10 | Grand Prairie, TX (64.376) | 10 | Arvada, CO (64.632) |
11 | Louisville, KY (61.547) | 11 | Chandler, AZ (64.243) | 11 | Carrollton, TX (64.586) |
12 | Pittsburgh, PA (61.304) | 12 | Fort Collins, CO (63.963) | 12 | Spokane Valley, WA (64.009) |
13 | Minneapolis, MN (60.694) | 13 | Plano, TX (63.358) | 13 | Cedar Rapids, IA (63.777) |
14 | Atlanta, GA (60.635) | 14 | Henderson, NV (63.188) | 14 | Green Bay, WI (63.357) |
15 | Charlotte, NC (60.401) | 15 | Madison, WI (62.767) | 15 | Centennial, CO (62.768) |
16 | Aurora, CO (60.225) | 16 | Salt Lake City, UT (61.872) | 16 | Surprise, AZ (62.718) |
17 | Mesa, AZ (60.078) | 17 | Garland, TX (61.785) | 17 | Roanoke, VA (62.318) |
18 | Columbus, OH (60.033) | 18 | Amarillo, TX (61.533) | 18 | Davenport, IA (62.273) |
19 | Austin, TX (59.504) | 19 | Richmond, VA (61.406) | 19 | Yakima, WA (62.037) |
20 | Phoenix, AZ (59.061) | 20 | Scottsdale, AZ (61.342) | 20 | Westminster, CO (61.78) |
21 | Arlington, TX (59.024) | 21 | Orlando, FL (60.606) | 21 | Broken Arrow, OK (61.711) |
22 | Las Vegas, NV (58.632) | 22 | Durham, NC (60.59) | 22 | Kenosha, WI (61.591) |
23 | Jacksonville, FL (58.111) | 23 | Port St. Lucie, FL (60.503) | 23 | Livonia, MI (61.112) |
24 | Tulsa, OK (58.069) | 24 | Augusta, GA (60.361) | 24 | Roseville, CA (61.084) |
25 | Virginia Beach, VA (58.045) | 25 | St. Paul, MN (60.19) | T-25 | Pueblo, CO (61.044) |
26 | Dallas, TX (57.58) | 26 | St. Petersburg, FL (60.188) | T-25 | Sterling Heights, MI (61.044) |
27 | San Antonio, TX (56.591) | 27 | Huntsville, AL (59.772) | 27 | Joliet, IL (60.976) |
28 | Tucson, AZ (56.431) | 28 | Columbus, GA (59.685) | 28 | Longmont, CO (60.777) |
29 | Sacramento, CA (55.901) | 29 | Chesapeake, VA (59.579) | 29 | Roswell, GA (60.7) |
30 | Bakersfield, CA (55.708) | 30 | Cape Coral, FL (59.537) | 30 | Hampton, VA (60.602) |
31 | Kansas City, MO (55.683) | 31 | Glendale, AZ (59.317) | 31 | Wilmington, NC (60.575) |
32 | Milwaukee, WI (54.948) | 32 | Tempe, AZ (59.202) | 32 | Boca Raton, FL (60.495) |
33 | Corpus Christi, TX (54.584) | 33 | Winston-Salem, NC (59.194) | 33 | Mesquite, TX (60.237) |
34 | Philadelphia, PA (54.348) | 34 | Des Moines, IA (59.101) | 34 | Peoria, IL (60.096) |
35 | St. Louis, MO (54.319) | 35 | Laredo, TX (59.074) | 35 | Warren, MI (60.064) |
36 | Indianapolis, IN (54.247) | 36 | Irving, TX (58.934) | 36 | Manchester, NH (59.818) |
37 | Seattle, WA (53.905) | 37 | Newport News, VA (58.547) | 37 | Naperville, IL (59.769) |
38 | Cleveland, OH (53.625) | 38 | Vancouver, WA (58.42) | 38 | Dearborn, MI (59.474) |
39 | Memphis, TN (53.517) | 39 | Knoxville, TN (58.275) | 39 | Palm Bay, FL (59.451) |
40 | Houston, TX (53.358) | 40 | Spokane, WA (58.173) | 40 | Fort Smith, AR (59.211) |
41 | Wichita, KS (53.03) | 41 | Akron, OH (58.08) | 41 | Springfield, IL (58.955) |
42 | Riverside, CA (52.503) | 42 | Cincinnati, OH (57.909) | 42 | Erie, PA (58.951) |
43 | Portland, OR (52.354) | 43 | Norfolk, VA (57.731) | 43 | Portsmouth, VA (58.843) |
44 | Fresno, CA (52.22) | 44 | Elk Grove, CA (57.32) | 44 | Bellevue, WA (58.815) |
45 | Chicago, IL (51.935) | 45 | Pembroke Pines, FL (57.267) | 45 | Lakewood, CO (58.663) |
46 | San Diego, CA (51.142) | 46 | North Las Vegas, NV (57.083) | 46 | Clearwater, FL (58.645) |
47 | Detroit, MI (50.514) | 47 | Greensboro, NC (56.435) | 47 | North Charleston, SC (58.644) |
48 | Albuquerque, NM (50.416) | 48 | Reno, NV (56.315) | 48 | Savannah, GA (58.256) |
49 | Baltimore, MD (49.982) | 49 | Buffalo, NY (56.313) | 49 | Clovis, CA (57.997) |
50 | New Orleans, LA (47.708) | 50 | Aurora, IL (56.122) | 50 | Vacaville, CA (57.928) |
51 | Anaheim, CA (47.159) | 51 | Little Rock, AR (55.093) | 51 | Renton, WA (57.764) |
52 | San Jose, CA (46.866) | 52 | Springfield, MA (54.948) | 52 | Elgin, IL (57.528) |
53 | Honolulu, HI (46.341) | 53 | Tacoma, WA (54.895) | 53 | Sunrise, FL (57.475) |
54 | Santa Ana, CA (45.566) | 54 | Rancho Cucamonga, CA (54.514) | 54 | Visalia, CA (57.35) |
55 | Boston, MA (44.805) | 55 | Toledo, OH (54.377) | 55 | Tuscaloosa, AL (57.289) |
56 | Washington, DC (43.549) | 56 | Montgomery, AL (54.1) | 56 | High Point, NC (57.245) |
57 | Long Beach, CA (43.053) | 57 | Lancaster, CA (53.97) | 57 | Yuma, AZ (57.034) |
58 | Miami, FL (42.473) | 58 | Salem, OR (53.774) | 58 | Alexandria, VA (56.996) |
59 | Los Angeles, CA (42.152) | 59 | Mobile, AL (53.605) | 59 | Hillsboro, OR (56.774) |
60 | New York, NY (40.27) | 60 | Moreno Valley, CA (53.372) | 60 | Victorville, CA (56.734) |
61 | San Francisco, CA (39.011) | 61 | Fayetteville, NC (53.37) | 61 | Sandy Springs, GA (56.719) |
62 | Oakland, CA (37.476) | 62 | Fontana, CA (53.047) | 62 | Lakeland, FL (56.696) |
() | 63 | Jersey City, NJ (52.967) | 63 | Athens-Clarke, GA (56.618) | |
() | 64 | Irvine, CA (52.893) | 64 | Murrieta, CA (56.522) | |
65 | Worcester, MA (52.341) | 65 | Dayton, OH (56.418) | ||
66 | Ontario, CA (52.224) | 66 | Allentown, PA (56.219) | ||
67 | Jackson, MS (52.149) | 67 | Davie, FL (55.791) | ||
68 | Eugene, OR (52) | 68 | Waukegan, IL (55.61) | ||
69 | Rockford, IL (51.799) | 69 | Fairfield, CA (55.467) | ||
70 | Springfield, MO (51.778) | 70 | Temecula, CA (55.437) | ||
71 | Birmingham, AL (51.476) | 71 | Plantation, FL (55.305) | ||
72 | Palmdale, CA (51.461) | 72 | Kent, WA (55.284) | ||
73 | Stockton, CA (51.431) | 73 | Everett, WA (54.89) | ||
74 | Modesto, CA (51.25) | 74 | Miramar, FL (54.609) | ||
75 | Providence, RI (50.936) | 75 | Ann Arbor, MI (54.604) | ||
76 | Corona, CA (50.916) | 76 | Chico, CA (54.407) | ||
77 | Rochester, NY (50.324) | 77 | Gainesville, FL (54.32) | ||
78 | Santa Rosa, CA (49.486) | 78 | Rialto, CA (54.049) | ||
79 | Baton Rouge, LA (49.435) | 79 | Lowell, MA (53.906) | ||
80 | Tallahassee, FL (49.432) | 80 | Waterbury, CT (53.843) | ||
81 | Fort Lauderdale, FL (49.241) | 81 | Stamford, CT (53.686) | ||
82 | Santa Clarita, CA (49.036) | 82 | Lansing, MI (53.648) | ||
83 | Shreveport, LA (48.97) | 83 | West Palm Beach, FL (53.569) | ||
84 | San Bernardino, CA (48.913) | 84 | New Haven, CT (53.551) | ||
85 | Hayward, CA (48.823) | 85 | Hollywood, FL (53.47) | ||
86 | Hialeah, FL (48.753) | 86 | Federal Way, WA (53.101) | ||
87 | Oxnard, CA (48.56) | 87 | Coral Springs, FL (53.095) | ||
88 | Chula Vista, CA (48.533) | 88 | New Bedford, MA (52.867) | ||
89 | Oceanside, CA (47.447) | 89 | Pompano Beach, FL (52.65) | ||
90 | Pomona, CA (46.921) | 90 | Hartford, CT (52.417) | ||
91 | Garden Grove, CA (46.591) | 91 | Santa Maria, CA (51.951) | ||
92 | Salinas, CA (46.463) | 92 | Albany, NY (51.493) | ||
93 | Huntington Beach, CA (46.325) | 93 | Flint, MI (51.431) | ||
94 | Fremont, CA (46.129) | 94 | Bridgeport, CT (51.288) | ||
95 | Yonkers, NY (45.432) | 95 | Miami Gardens, FL (51.176) | ||
96 | Anchorage, AK (45.111) | 96 | Beaverton, OR (51.139) | ||
97 | Glendale, CA (41.207) | 97 | Antioch, CA (50.953) | ||
98 | Newark, NJ (39.299) | 98 | Vallejo, CA (50.933) | ||
() | 99 | Fall River, MA (50.661) | |||
() | 100 | Thousand Oaks, CA (50.636) | |||
() | 101 | Mission Viejo, CA (50.557) | |||
() | 102 | Simi Valley, CA (50.534) | |||
() | 103 | Quincy, MA (50.371) | |||
() | 104 | Gresham, OR (49.57) | |||
() | 105 | Boulder, CO (49.448) | |||
() | 106 | Carlsbad, CA (49.385) | |||
() | 107 | Escondido, CA (48.875) | |||
() | 108 | Concord, CA (48.604) | |||
() | 109 | Lynn, MA (48.383) | |||
() | 110 | Richmond, CA (47.962) | |||
() | 111 | Orange, CA (47.949) | |||
() | 112 | Norwalk, CA (47.707) | |||
() | 113 | Ventura, CA (47.561) | |||
() | 114 | Vista, CA (47.392) | |||
() | 115 | Carson, CA (47.087) | |||
() | 116 | West Covina, CA (47.011) | |||
() | Fullerton, CA | ||||
() | Cambridge, MA | ||||
() | El Cajon, CA | ||||
() | Elizabeth, NJ | ||||
() | Compton, CA | ||||
() | Burbank, CA | ||||
() | Santa Clara, CA | ||||
() | Downey, CA | ||||
() | Brockton, MA | ||||
() | Pasadena, CA | ||||
() | Paterson, NJ | ||||
() | Costa Mesa, CA | ||||
() | South Gate, CA | ||||
() | Sunnyvale, CA | ||||
() | Torrance, CA | ||||
() | Inglewood, CA | ||||
() | Westminster, CA | ||||
() | Daly City, CA | ||||
() | El Monte, CA | ||||
() | San Mateo, CA | ||||
() | Miami Beach, FL | ||||
() | Santa Monica, CA | ||||
() | Berkeley, CA | ||||
() | Santa Barbara, CA |
Purchasing real estate for the first time can be a daunting experience for many consumers. But it doesn’t have to be. For advice and insight, we asked a panel of experts to share their thoughts on the following key questions:
- What should first-time home buyers consider when choosing a neighborhood
- How do you know that you are financially ready to buy your first home?
- What do you recommend as the minimum down payment for a first-time home buyer?
- What effect did Trump’s Executive Order increasing the cost of FHA-backed loans have on first-time home buyers?
- How can federal, state and local policymakers responsibly and effectively increase home affordability, particularly for first-time home buyers?
Lou Tisler Director of the Housing Counseling Network at The National Community Reinvestment Coalition
Katrin B. Anacker Associate Professor in the Schar School of Policy and Government at George Mason University
Michelle M. Thompson Associate Professor in the Department of Planning & Urban Studies, Louisiana Manufactured Housing Association Professor in CUPA, and Faculty Advisor for Bachelor of Science in Urban Studies and Planning Internships & Honors Program at the University of New Orleans
W. Dennis Keating Professor Emeritus of Urban Studies and Law at Cleveland State University
Deden Rukmana Associate Professor and Coordinator of the Urban Studies and Planning Program & Co-Chair of the Global Planning Educators Interest Group at Savannah State University
Christopher B. Leinberger Charles Bendit Distinguished Scholar and Research Professor & Chair of the Center for Real Estate and Urban Analysis at the George Washington University School of Business
Alessandro Rebucci Assistant Professor of Economics, Finance and Real Estate at Johns Hopkins Carey Business School




- Location related to work, transportation, shopping, amenities (e.g., parks);
- Housing values and conditions (including possible data through sources like Trulia and Zillow);
- Nearby schools (if children and future children are a relevant consideration);
- Reputation of the neighborhood (if known, including through a neighborhood-based organization, homeowners association, social network);
- Safety (if crime data is available);
- Property taxes and any other state, regional and local fees affecting homeowners in the jurisdiction.
- Housing trust funds (that subsidize low- and moderate-income housing);
- Inclusionary housing/zoning (to increase the supply of affordable units);
- Property tax abatements: subsidized loans (e.g., the first time low-and moderate-income homebuyer program of the Ohio Housing Finance Agency);
- Self-help: support of low-income programs, like that of Habitat for Humanity;
- Lease/purchase (e.g., the program of the Cleveland Housing Network for low-income tenants);
- Housing savings accounts: promoting these with lenders;
- Housing counseling: support for agencies that offer homebuyer educational courses (working with lenders);
- Support for co-housing programs;
- Support for community land trusts.


- Adjust the mortgage tax deduction (MTD) to only under $500,000 mortgages (may be higher for higher cost metro areas), aiming at supporting the first time mortgage market, rather than well-to-do households who get the vast majority of the mortgage tax deduction. The MTD costs the federal government $100 billion per year in lost taxes, mainly to subsidize the upper-middle and upper income households, who do not need it.
- Invest more infrastructure dollars in existing and new transit, biking and walking infrastructure, which will allow for more walkable urban housing to be built. Currently, only 20% of federal infrastructure goes to walkable urban infrastructure, 80% for highways. There have been hundreds of local bond measures for transit over the past decade, and over 70% have passed raising local taxes, primarily sales taxes, to build more transit. In 2016, over $200 billion of new taxes were raised locally for transit in just that year; in comparison, the federal government spends $60 billion on all transportation per year. So the encouragement of more local spending on transit, biking and walking infrastructure will help make more walkable urban housing happen, and lower household transportation costs.
- Fight NIMBY (Not In My Back Yard) opposition to higher density housing, particularly in walkable urban places. NIMBYs cause housing prices to spike unnecessarily by putting supply constraints on the market. Plus, it is estimated that 1-2% of additional annual GDP growth would occur if NIMBYs would be overridden and the market can give us what we want. Also, walkable urban housing is by far the most environmentally sustainable; moving a household from a drivable sub-urban location to a walkable urban place drops green house gas emissions by 50-80%, the number one way we can address climate change.

To determine the most favorable housing markets for first-time home buyers, WalletHub’s analysts compared a sample of 300 U.S. cities (varying in size) across three key dimensions: 1) Affordability, 2) Real-Estate Market and 3) Quality of Life.
We evaluated those dimensions using 23 relevant metrics, which are listed below with their corresponding weights. Each metric was graded on a 100-point scale, with a score of 100 representing the most favorable conditions for first-time home buyers. Data for metrics marked with an asterisk (*) were available at the state level only.
Finally, we determined each city’s weighted average across all metrics to calculate its total score then used the resulting scores to rank-order our sample. Our sample considers only the city proper in each case and excludes cities in the surrounding metro area. Each city was categorized according to the following population-size guidelines:
- Large cities: More than 300,000 people
- Midsize cities: 150,000 to 300,000 people
- Small cities: Fewer than 150,000 people
- Housing Affordability: Triple Weight (~14.29 Points)Note: This metric was calculated as follows: Median House Price / Median Annual Household Income.
- Average Cost of Homeowner’s Insurance: Full* Weight (~4.76 Points)
- Cost of Living: Full Weight (~4.76 Points)
- Cost per Square Foot: Full Weight (~4.76 Points)Note: This metric measures specifically the median list price per average home square footage.
- Real-Estate Tax Rate: Full Weight (~4.76 Points)
- Rent-to-Price-Ratio: Double Weight (~6.06 Points)
- Housing-Market Health Index: Full Weight (~3.03 Points)
- Share of Homes Sold in One Year: Full Weight (~3.03 Points)
- Median Home-Price Appreciation: Double Weight (~6.06 Points)
- Foreclosure Rate: Full Weight (~3.03 Points)
- Buy vs. Rent Breakeven Horizon: Full Weight (~3.03 Points)Note: The “breakeven horizon” is defined by Zillow as the point, in years, at which buying a home becomes less expensive than renting the same home.
- Share of Listings with Price Cuts: Full Weight (~3.03 Points)
- Share of Housing Units Built between 2010 and 2015: Full Weight (~3.03 Points)
- Building-Permit Activity: Full Weight (~3.03 Points)Note: This metric measures the number of unit permits pulled per 1,000 residents.
- Recreation-Friendliness: Full Weight (~3.33 Points)Note: This metric is based on WalletHub’s “Best & Worst Cities for Recreation” ranking.
- Recession Recovery: Full Weight (~3.33 Points)Note: This metric is based on WalletHub’s “Most & Least Recession-Recovered Cities” ranking.
- Weather: Full Weight (~3.33 Points)Note: This metric is based on WalletHub’s “Cities with the Best & Worst Weather” ranking.
- Quality of School System: Double Weight (~6.67 Points)Note: This metric is based on WalletHub’s “States with the Best & Worst School Systems” ranking.
- Driver-Friendliness: Full Weight (~3.33 Points)Note: This metric is based on WalletHub’s “Best & Worst Cities to Drive in” ranking.
- Job Market: Full Weight (~3.33 Points)Note: This metric is based on WalletHub’s “Best & Worst Cities for Jobs” ranking.
- Total Home-Energy Cost: Full Weight (~3.33 Points)
- Violent-Crime Rate: Full Weight (~3.33 Points)
- Property-Crime Rate: Full Weight (~3.33 Points)
Sources: Data used to create this ranking were collected from the U.S. Census Bureau, Council for Community and Economic Research, Zillow, Federal Bureau of Investigation, Insurance Information Institute, AreaVibes, Renwood RealtyTrac and WalletHub research.
from Wallet HubWallet Hub
via Finance Xpress
1 comments
Thank you for sharing this information. It has helped me to know more about
ReplyDeletehome loan process