The States and Cities Struggling Most to Lose Weight

    A frustrated woman in a living room holds a bathroom scale with a measuring tape draped around her neck.

    For millions of Americans, losing weight has turned into a years-long project with no finish line. People are cycling through diets, stalling on plateaus, and turning to Google for answers, and where they live may be associated with how hard they're searching.

    Trimi analyzed a year of Google search volume across the 150 largest U.S. metros and all 50 states, then surveyed 1,003 Americans who are actively trying to lose weight. We wanted to know where the search for weight-loss help runs hottest, what keeps people from reaching their goals, and how many want prescription treatment but can't get it.

    Key Takeaways

    • El Paso, Texas, ranks No. 1 among major U.S. cities searching hardest for weight-loss help, with 5,127 searches per 100,000 residents.
    • New York ranks No. 27, Los Angeles No. 49, and Chicago No. 64 among the 150 largest U.S. metros for weight-loss searches per capita.
    • Colorado ranks No. 1 among U.S. states for weight-loss searches per capita, with 1,167 searches per 100,000 residents.
    • The average American trying to lose weight has been at it for three years across five separate diets or programs.
    • 86% of Americans trying to lose weight have hit a plateau where their progress has stalled.
    • Of the 49% of Americans who want a prescription weight-loss medication, 77% are blocked by cost, insurance, or access.
    • 60% of Americans trying to lose weight say access to these medications unfairly depends on where you live or what you can afford.

    El Paso Leads the Country in the Search for Weight-Loss Help

    We ranked the 150 largest U.S. metros by weight-loss searches per 100,000 residents, and the South and West dominated the top of the list.

    Ranking of U.S. metros by weight-loss searches, led by El Paso, with the 25 highest- and lowest-searching cities listed.
    Where America Searches Hardest to Lose Weight, by City

    Weight-loss search volume per 100,000 residents across the 150 largest U.S. metros, September 2025 to August 2026.

    All 150 of the largest U.S. metros ranked by weight-loss searches per 100,000 residents, September 2025 to August 2026, with 2025 population and monthly search volume for each of the five index terms.
    RankMetroStatePopulation 2025Searches per 100k“How to lose weight”“How to lose belly fat”“Slow metabolism”“Ozempic”“Wegovy”
    1El PasoTX881,2915,1273,1303,08017022,60016,200
    2MobileAL411,6584,5092,2702,0601407,7506,340
    3LafayetteLA423,7584,1429901,0501109,2906,110
    4LexingtonKY535,1744,0772,0801,9301208,7308,960
    5San AntonioTX2,813,1403,9889,8009,76044050,20042,000
    6Las VegasNV2,407,2263,9429,5909,65045045,90029,300
    7JacksonvilleFL1,785,5003,9417,2207,00034029,00026,800
    8FayettevilleNC395,4123,9401,1701,2501306,2606,770
    9WichitaKS663,8093,9144,0704,2901209,0108,490
    10Fort WayneIN466,2583,8881,9102,1501207,2706,680
    11TallahasseeFL397,4423,8871,3301,2601107,2405,510
    12AlbuquerqueNM925,2793,8033,6103,48014014,70013,260
    13AnchorageAK405,8213,7921,6301,6101206,1005,930
    14San JoseCA1,984,4733,7409,9809,56029033,70020,700
    15Corpus ChristiTX451,1913,7081,4101,3201207,5506,330
    16OmahaNE1,009,8363,7083,6703,58013015,78014,280
    17San DiegoCA3,282,2483,5579,9809,45043053,60043,300
    18AustinTX2,620,9453,5369,0608,65038042,10032,500
    19DurhamNC625,4853,5201,7901,7101309,0009,390
    20Colorado SpringsCO781,7963,4652,9503,09012011,3409,590
    21SavannahGA438,3143,3901,2801,3701306,2405,840
    22New OrleansLA970,8493,3492,7802,87014014,16012,560
    23TucsonAZ1,074,6853,3363,3003,20013016,50012,720
    24LouisvilleKY1,402,5093,3284,7404,64020018,30018,800
    25ClevelandOH2,165,7753,2266,6306,45039028,50027,900
    26TrentonNJ399,2893,2011,1001,1201205,4904,950
    27New YorkNY20,112,4483,17459,50055,3002,980301,800218,800
    28RaleighNC1,595,7203,1614,8404,55025020,40020,400
    29CharlotteNC2,938,8303,0899,8709,18053035,60035,600
    30MemphisTN1,341,4123,0593,6204,17024017,70015,300
    31ColumbusOH2,242,0283,0557,2707,21031027,70026,000
    32Urban HonoluluHI988,7032,9892,5902,49016014,4009,910
    33OcalaFL442,6602,9781,2601,2901205,6404,870
    34ChattanoogaTN594,5302,9421,6901,7101206,6807,290
    35NaplesFL417,1312,913810970905,1105,170
    36HoustonTX7,904,6272,90620,08020,9001,340106,80080,600
    37Oklahoma CityOK1,512,8132,8564,4204,31021019,50014,760
    38BuffaloNY1,155,6532,8423,4103,82013014,40011,080
    39IndianapolisIN2,205,6952,8306,6606,27030026,50022,700
    40HuntsvilleAL556,4442,8181,5301,4901206,3706,170
    41BirminghamAL1,197,7662,7833,1603,07016014,34012,600
    42NashvilleTN2,197,4162,7805,4905,47024025,20024,700
    43OrlandoFL2,957,6722,7657,5607,27034036,80029,800
    44Salt Lake CityUT1,308,3772,7624,7604,56012016,08010,620
    45MilwaukeeWI1,575,0102,7614,4704,28024017,40017,100
    46DenverCO3,092,0372,7548,7108,86028038,30029,000
    47ToledoOH599,3762,7481,6801,6501206,2606,760
    48WilmingtonNC492,7722,7251,0701,0001204,7806,460
    49Los AngelesCA12,844,4412,72041,50039,6601,420154,800112,000
    50Des MoinesIA758,5392,7141,7901,7601208,4908,430
    51MontgomeryAL388,7472,6759201,0201204,8903,450
    52BakersfieldCA927,0682,6612,5502,18014010,6809,120
    53FresnoCA1,203,3832,6473,2302,90016013,86011,700
    54RenoNV578,7342,5941,4101,2601106,5705,660
    55BaltimoreMD2,857,7812,5907,2106,88042032,30027,200
    56MadisonWI709,6852,5881,5901,3801108,1107,180
    57SpokaneWA608,0122,5801,5201,4201106,7605,880
    58KnoxvilleTN968,1372,5762,3202,1501209,49010,860
    59ReadingPA440,0722,5728508601104,4905,010
    60BrownsvilleTX433,9462,5407706301105,9303,580
    61ShreveportLA383,4742,5328009201204,5303,340
    62SalemOR445,8142,5101,0509501205,3203,750
    63EugeneOR381,5842,490890800904,3903,330
    64ChicagoIL9,434,1232,45320,74020,0001,040102,30087,300
    65Fort CollinsCO377,2922,4529609001003,7803,510
    66SeattleWA4,161,8832,4319,7309,00036048,40033,700
    67SpringfieldMO500,6942,4271,1901,0401205,1004,700
    68JacksonMS609,8472,4201,1801,2101206,1906,060
    69New HavenCT578,7412,3381,2801,1501206,0804,900
    70GreensboroNC805,9452,3201,6201,6501207,4007,910
    71Port St. LucieFL568,7212,3141,2801,2901205,4105,060
    72Santa RosaCA486,4442,3139401,1301005,0804,000
    73RochesterNY1,056,1492,2822,3302,34013010,7608,540
    74Little RockAR777,6072,2801,3401,5501207,8006,920
    75SacramentoCA2,477,2742,2655,7205,16033026,90018,000
    76DaytonOH826,5542,2531,9501,9801207,6606,910
    77Myrtle BeachSC427,5512,2431,0401,0801003,7303,640
    78SyracuseNY652,2732,2281,4701,3301206,2405,370
    79AshevilleNC422,3452,223710830803,5604,210
    80YorkPA473,1972,2219508501104,2804,320
    81WinstonNC712,2062,2071,2601,2701206,0407,030
    82CantonOH400,2462,201810860903,6903,360
    83ModestoCA557,7192,1891,0101,1201105,8404,130
    84PortlandOR2,542,2822,1485,9405,27020024,90018,300
    85StocktonCA823,8152,1281,7401,8301208,6205,220
    86Baton RougeLA888,6992,1181,8101,7001208,2006,990
    87CharlestonSC889,2632,1121,6401,7401207,8307,450
    88ColumbiaSC879,9182,1011,5001,7001307,6407,520
    89SpringfieldMA464,3382,0297908301204,2003,480
    90SalinasCA433,7292,0178306901103,9503,170
    91SpartanburgSC407,6562,0126706501203,2703,490
    92MinneapolisMN3,790,2952,0097,7406,89040030,30030,800
    93PensacolaFL544,9492,0061,2801,3601204,3503,820
    94TulsaOK1,069,2731,9941,9701,9001309,6307,690
    95PhiladelphiaPA6,329,1181,97211,50011,01071053,40048,200
    96AugustaGA641,2311,9659801,0501205,9104,540
    97KilleenTX511,4971,9539409301204,7903,210
    98PhoenixAZ5,228,9381,94410,80010,35050045,10034,900
    99RichmondVA1,389,3381,9412,3602,45012011,04011,000
    100FlintMI401,0931,9406505901203,3203,100
    101Kansas CityMO2,270,6821,9366,4206,11024015,90015,300
    102PittsburghPA2,421,9921,9354,3704,22018019,50018,600
    103Boise CityID864,2431,8371,9202,0301006,3905,440
    104CincinnatiOH2,312,8581,8254,1004,07015017,10016,800
    105AtlantaGA6,482,1821,78411,24011,15057049,10043,600
    106ManchesterNH433,4151,7798308201102,9103,040
    107AkronOH701,7801,7741,2201,2601205,1704,680
    108VisaliaCA485,1461,7547306501203,5203,490
    109YoungstownOH423,6781,7407207101103,0502,780
    110San FranciscoCA4,630,0411,6926,8806,07029037,80027,300
    111Grand RapidsMI1,183,6451,6601,6901,6601207,5508,630
    112LansingMI479,7221,6556306401203,2203,330
    113St. LouisMO2,814,4211,6494,7204,59020020,10016,800
    114MiamiFL6,391,0721,60210,0209,86037048,70033,400
    115TampaFL3,418,8951,5865,3205,41020023,80019,500
    116BeaumontTX399,3101,5855105601102,8702,280
    117LancasterPA563,1591,5807407501003,5703,740
    118Virginia BeachVA1,797,2131,5702,5502,58015011,12011,820
    119McAllenTX921,5491,5439508101207,5104,830
    120VallejoCA455,3761,5426006101203,3902,300
    121PortlandME577,6351,5108108601103,1403,800
    122AlbanyNY915,8351,4891,0009801305,8005,730
    123WaterburyCT463,3491,489710700903,1602,240
    124Santa MariaCA442,0651,482670610902,5902,590
    125HartfordCT1,171,4261,4771,6501,7201107,5606,260
    126Cape CoralFL875,6071,4581,2801,3501205,1404,880
    127HarrisburgPA617,4271,4357707901103,8003,390
    128DallasTX8,477,1571,42311,04010,87054054,40043,800
    129DavenportIA380,4521,4124404901102,1502,180
    130LakelandFL874,7901,3841,2601,2601205,0804,390
    131GreeleyCO378,4261,353520490802,3701,660
    132BostonMA5,034,2211,3105,4204,97027028,00027,300
    133FayettevilleAR622,1771,2877908001003,3402,980
    134WorcesterMA888,5021,2679701,0101104,8204,350
    135GreenvilleSC1,014,1011,2621,1401,0901204,9505,500
    136DetroitMI4,390,9131,2086,7206,69041021,80017,400
    137OxnardCA830,8511,1629408501204,4903,250
    138GulfportMS431,3291,1483704501101,9402,080
    139Palm BayFL663,9821,102740740903,1502,600
    140OgdenUT672,7841,0648107801003,0802,390
    141AllentownPA887,6151,0476106201004,3403,620
    142ScrantonPA574,4181,0245105101102,3202,430
    143WashingtonDC6,465,7249865,2905,43030027,70025,000
    144ProvidenceRI1,708,1618831,3201,3301206,5905,730
    145BridgeportCT978,1798691,0301,0301103,8302,500
    146DeltonaFL746,933659540480802,1301,690
    147Kiryas JoelNY718,377642400420901,9001,800
    148ProvoUT773,426600510410502,3701,300
    149North PortFL948,158535500450902,0701,960
    150RiversideCA4,769,0074752,0502,09019010,5807,750
    Source: Trimi Study
    Trimi

    Here's how the city rankings played out:

    • Residents of El Paso search for weight-loss help more than any other major U.S. metro, at 5,127 searches per 100,000 people.
    • Mobile, Alabama; Lafayette, Louisiana; Lexington, Kentucky; and San Antonio round out the top five, each above 3,900 searches per 100,000 residents.
    • Southern and Western cities take 21 of the top 25 spots. The South holds 14, the West seven, and the Midwest four.
    • Texas alone places four metros in the top 25.
    • No Northeastern metro cracks the top 25, and eight of the 25 lowest-searching cities are in the Northeast.
    • Riverside, California, searches the least of any major metro at 475 per 100,000 residents, roughly one-eleventh of El Paso's rate.
    • Ozempic and Wegovy make up 80% of all weight-loss search volume across the 150 largest metros, and El Paso also leads all 150 metros in GLP-1 searches per capita.
    • The biggest cities land mid-pack, with New York at No. 27, Los Angeles at No. 49, and Chicago at No. 64.

    The state rankings told a slightly different story:

    • Colorado ranks No. 1 among U.S. states, with 1,167 searches per 100,000 residents, despite having the lowest adult obesity rate in the country at 25%.
    • The 10 states with the most weight-loss searches per capita have an average adult obesity rate of 31%, compared with 37% for the 10 states with the fewest.
    • Across states, search demand shows a moderate negative association with obesity and a moderate positive association with cost of living.

    Years of Effort, Five Diets Deep, and Stuck on a Plateau

    Our survey found that most people trying to lose weight have put in serious effort, often for years, and still hit the same walls.

    Survey results on why Americans can't lose weight, with hunger or cravings as the top barrier and 86% hitting a plateau.
    3 years
    is the average time people spend trying to lose weight.
    5 programs
    is the average number of diets or weight-loss programs they try.
    Biggest Barriers to Losing Weight
    Hunger or cravings
    67%
    Stress or emotional eating
    60%
    Lack of motivation
    57%
    Cost or affordability
    33%
    Lack of time
    30%
    Not knowing what works
    22%
    A medical condition
    15%
    Food options where I live
    9%
    Source: Trimi Study
    Trimi

    Here's what Americans told us about the effort so far:

    • More than eight in 10 Americans trying to lose weight (81%) say it has been difficult, including 86% of baby boomers, 83% of Gen X, 80% of millennials, and 78% of Gen Z.
    • Women find it harder than men, with 85% calling it difficult compared with 73% of men.
    • The average American trying to lose weight has been at it for three years across five separate diets or programs.
    • Nearly nine in 10 (88%) have tried cutting calories on their own, while 79% have tried exercise and 63% have tried a specific diet like keto or intermittent fasting.
    • Nearly one-quarter (24%) have tried a prescription weight-loss medication, led by Gen X (30%) and baby boomers (28%), followed by millennials (22%) and Gen Z (16%).

    The barriers are often more personal than practical:

    • Just over two-thirds (67%) say hunger or cravings stand in their way, followed by stress or emotional eating (60%) and lack of motivation (57%).
    • Hunger weighs heaviest on Gen Z, with 80% naming it as a barrier, compared with 70% of millennials, 58% of baby boomers, and 55% of Gen X.
    • More women (64%) than men (52%) name stress or emotional eating as a barrier.
    • One-third (33%) say cost stands in their way, rising to 49% of the uninsured and 45% of Medicaid enrollees, compared with 36% of Medicare enrollees and 28% of the privately insured.
    86%
    of Americans trying to lose weight hit a weight-loss plateau where progress stalled.
    What People Do After Hitting a Weight-Loss Plateau
    Gave up on trying for a while
    46%
    Took a break and returned later
    38%
    Pushed through and kept going
    34%
    Quit that approach entirely
    25%
    Switched to a different approach
    23%
    Source: Trimi Study
    Trimi

    Plateaus prove to be where many people lose momentum:

    • 86% of Americans trying to lose weight have hit a plateau where their progress stalled.
    • Nearly half of those who hit a plateau (46%) stop trying for a while, including 51% of Gen Z.
    • Just over one-third (34%) push through and keep going, while 25% quit that diet or program entirely and 23% switch to a different approach.
    • Overall, 55% of those who hit a plateau either stop trying for a while or abandon their approach entirely.
    • Nearly one-third (32%) have made little or no progress or lost ground, including 42% of baby boomers. Women (37%) report this more often than men (24%).
    • Just 2% say they have reached their goal.

    Many Want Prescription Treatment, but Cost and Coverage Get in the Way

    Interest in prescription weight-loss treatment runs high, but for most people who want it, getting it is another matter.

    Survey results showing 38% of Americans trying to lose weight wanted prescription weight-loss medication but couldn't get it.
    38%
    of Americans trying to lose weight have wanted a prescription weight-loss treatment but could not get one.
    Why People Can't Access Prescription Weight-Loss Medication
    33%
    Cost was too high
    24%
    Insurance would not cover it
    10%
    Blocked for another reason
    9%
    No prescriber or supply available
    Source: Trimi Study
    Trimi

    Here's where the access gap shows up:

    • Of the 49% of Americans trying to lose weight who want a prescription weight-loss treatment, 77% are unable to get one. That's 38% of everyone we surveyed.
    • Among those who want treatment, cost is too high for 33%, insurance won't cover it for 24%, 9% can't find a prescriber or supply, and 10% are blocked for another reason.
    • Nearly half of all respondents (48%) say they would try a prescription medication if cost weren't a factor.
    • Women are blocked from weight-loss medication more often than men, 42% versus 31%.
    • The uninsured are blocked most often (48%), followed by Medicare (41%) and Medicaid (38%) enrollees and the privately insured (36%).
    How Americans Feel About Access to Prescription Weight-Loss Medication
    Access unfairly depends on where you live or income
    60%
    These medications are out of reach for people like me
    58%
    I would try one if cost were not a factor
    48%
    Talked about everywhere but out of reach for me
    47%
    Source: Trimi Study
    Trimi

    Many also feel the system wasn't built for them:

    • 60% say access to these medications unfairly depends on where you live or what you can afford.
    • 58% say these medications are out of reach for people like them.
    • Nearly a quarter (24%) have spent $500 or more out of pocket pursuing weight-loss treatment in the past year.
    • The privately insured are the most likely to hit that mark (29%), compared with 20% of Medicare enrollees, 13% of Medicaid enrollees, and 11% of the uninsured.

    Where the Search for Weight-Loss Help Goes From Here

    The average person trying to lose weight has spent three years and tried five diets or programs, and most have hit a plateau along the way. Where they search for help varies widely, from El Paso at the top to Riverside at the bottom. For many, access adds another hurdle. Nearly four in 10 wanted prescription treatment but couldn't get it, most often because of cost or insurance. For anyone weighing their options, a conversation with a licensed provider is the best place to start.

    Methodology

    Trimi commissioned a survey of 1,003 U.S. adults ages 18 and older who are actively trying to lose weight, fielded in 2026 through CloudResearch Connect and Prolific. Of respondents, 64% were women, 34% were men, and 2% identified another way or preferred not to say. Generationally, 18% were Gen Z (ages 18 to 29), 47% were Millennials (ages 30 to 45), 28% were Gen X (ages 46 to 61), and 7% were Baby Boomers (ages 62 and older). All findings describe this population, not the general public. Percentages are rounded to the nearest whole number and may not total 100. Select-all questions can exceed 100% and are reported as a share of all respondents, except for the plateau-reaction question, which is based on the 862 respondents who had hit a plateau. For the two write-in numeric questions (time spent trying and number of programs), means are reported with outliers removed using the interquartile range method. Subgroups below 5% of the sample are not headlined.

    The city index scores the 150 largest U.S. metros on total Google Ads search volume across five terms (how to lose weight, how to lose belly fat, slow metabolism, Ozempic, and Wegovy) from September 2025 to August 2026. The state index scores each state on search volume across seven terms (why can't I lose weight, weight-loss plateau, slow metabolism, how to lose belly fat, weight-loss help, how to get Ozempic, and Ozempic cost) from August 2025 to July 2026. Volume is normalized to searches per 100,000 residents using U.S. Census Bureau Vintage 2025 population estimates and rescaled 0 to 100. Because the city and state rankings use different term baskets, they aren't compared with each other. A high score reflects high per-capita search demand, not a measure of health.

    Obesity prevalence comes from the CDC's 2024 Behavioral Risk Factor Surveillance System (Tennessee uses 2023 CDC PLACES data). Physical inactivity, food access, sleep, uninsured rate, and cost-of-living data come from the CDC, USDA, County Health Rankings, and MERIC, with vintages from 2019 to 2024. Relationships between search demand and these measures are reported as Spearman rank correlations and describe association only, not causation. Search demand showed a moderate negative association with obesity (rho -0.49) and a moderate positive association with cost of living (rho +0.40). Inactivity, sleep, food access, and the uninsured rate showed no clear link.

    Medical Disclaimer

    This content is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare provider before starting, adjusting, or discontinuing any medication. Individual results vary. GLP-1 medications require a prescription and should only be used under a licensed healthcare provider's supervision.

    About Trimi

    Trimi is a U.S. telehealth provider that connects patients with licensed providers and named 503A compounding pharmacies for GLP-1 treatment, with transparent all-in pricing and no membership fees. That vantage point gives the company a close view of the cost, access, and everyday decisions behind the GLP-1 conversation. (Trimi, at trytrimi.com, is a separate company from the similarly named TrimRx.)

    Fair Use Statement

    Feel free to share the findings from this study for any noncommercial use. We only ask that you link back to the full study so readers can see the complete results and methodology, and please credit Trimi as the source.