Ranking · California

Fastest-growing and fastest-shrinking places in California

Paradise, Butte County has the highest population change, 2020 to 2025 of California's 469 ranked places (+110.5%); Susanville has the lowest (−23.3%). Ranked: places with 1,000 or more residents in the 2020 Census that are incorporated (the Census Bureau estimates only those each year).

Which are the fastest-growing places?

Fastest-growing places in California, first to fifth: Paradise, Butte County (+110.5%), Lathrop (+48.9%), Shafter (+19.7%), Manteca (+15.7%) and Menifee (+15.7%).

Fastest-growing places in California, by population change, 2020 to 2025.
RankPlaceTypePopulation change, 2020 to 2025ResidentsCounty
1 Paradise, Butte Countytown +110.5% 10,023Butte County
2 Lathropcity +48.9% 42,783San Joaquin County
3 Shaftercity +19.7% 23,871Kern County
4 Mantecacity +15.7% 96,693San Joaquin County
5 Menifeecity +15.7% 118,592Riverside County
6 Winterscity +15.6% 8,214Yolo County
7 Huroncity +15.6% 7,394Fresno County
8 Lincolncity +15.3% 57,367Placer County
9 Fowlercity +15.0% 7,745Fresno County
10 Wheatlandcity +14.9% 4,267Yuba County
11 Beaumontcity +14.7% 60,835Riverside County
12 Folsomcity +14.3% 91,983Sacramento County
13 Rosevillecity +13.2% 167,302Placer County
14 Pattersoncity +11.8% 26,587Stanislaus County
15 Greenfield, Monterey Countycity +11.5% 21,138Monterey County
16 Mercedcity +11.0% 99,724Merced County
17 Calimesacity +10.9% 11,111Riverside County
18 Rancho Cordovacity +10.4% 87,554Sacramento County
19 Oakleycity +9.8% 47,583Contra Costa County
20 Imperialcity +9.7% 22,330Imperial County
21 Kermancity +9.7% 17,553Fresno County
22 Hollistercity +9.7% 45,695San Benito County
23 Tracycity +9.4% 101,901San Joaquin County
24 Guadalupecity +9.1% 8,846Santa Barbara County
25 Plymouthcity +9.1% 1,174Amador County

Source: Census Bureau population estimates, Vintage 2025 (SUB-EST2025) · Census population estimates

Which are the fastest-shrinking places?

Fastest-shrinking places in California, first to fifth: Susanville (−23.3%), Taft (−18.3%), Blythe (−17.9%), California City (−11.2%) and Crescent City (−10.1%).

Fastest-shrinking places in California, by population change, 2020 to 2025.
RankPlaceTypePopulation change, 2020 to 2025ResidentsCounty
469 Susanvillecity −23.3% 12,816Lassen County
468 Taftcity −18.3% 6,995Kern County
467 Blythecity −17.9% 15,042Riverside County
466 California Citycity −11.2% 13,300Kern County
465 Crescent Citycity −10.1% 6,002Del Norte County
464 Malibucity −10.1% 9,574Los Angeles County
463 Calipatriacity −9.7% 6,012Imperial County
462 Weedcity −9.1% 2,603Siskiyou County
461 Tehachapicity −8.4% 11,852Kern County
460 Twentynine Palmscity −7.6% 25,939San Bernardino County
459 Union Citycity −6.9% 65,282Alameda County
458 Dunsmuircity −6.9% 1,587Siskiyou County
457 Pleasantoncity −6.6% 74,556Alameda County
456 Yountvillecity −6.6% 3,198Napa County
455 Manhattan Beachcity −6.6% 33,122Los Angeles County
454 Westlake Villagecity −6.5% 7,505Los Angeles County
453 Cerritoscity −6.5% 46,367Los Angeles County
452 Avaloncity −6.3% 3,237Los Angeles County
451 Hermosa Beachcity −6.3% 18,513Los Angeles County
450 Rancho Palos Verdescity −6.2% 39,654Los Angeles County
449 San Leandrocity −6.2% 85,353Alameda County
448 Huntington Parkcity −6.1% 51,544Los Angeles County
447 La Habra Heightscity −6.1% 5,327Los Angeles County
446 Lawndalecity −6.1% 29,892Los Angeles County
445 Hawthornecity −6.1% 82,741Los Angeles County

Source: Census Bureau population estimates, Vintage 2025 (SUB-EST2025) · Census population estimates

How is this ranking made?

Each place's population change, 2020 to 2025 is read from the Census Bureau's April 1, 2020 estimates base and its July 1, 2025 estimate. A place enters the ranking if it had 1,000 or more residents in the 2020 Census and is incorporated. Ties in the published figure share a rank. This is a measurement of one figure, not a judgment of a place.

Source: PlainCities ranking method applied to the Census Bureau population estimates, Vintage 2025 (SUB-EST2025) · How ranks are computed

How these figures are made: methodology and release checks · reading a margin of error · every state · corrections