PlainWater

Waupaca County, Wisconsin

SDWIS compliance plate

Sheet WI135 · Waupaca County 208 sys · 3,818 viol · #1185/3254

VIOL-SEVERE · HEALTH-LOW · RANK-UPPER · PHOTO-FINISH · PFAS-HIGH · SRC-GW · SYS-LARGE · BOOK-FULL

  • VIOL-SEVERE 63.0% flagged
  • HEALTH-LOW 16.2% health
  • RANK-UPPER #1185/3254
  • PHOTO-FINISH ±0.9 pp
  • PFAS-HIGH 66.7% detect
  • SRC-GW GW lead 100%
  • SYS-LARGE 208 systems
  • BOOK-FULL 7/7 fields

Nearest flagged-rate peer: Dane County ( -0.9 pp flagged-rate)

According to EPA SDWIS county population served used on /counties, Waupaca County ranks #1,185 of 3,254 counties by people served, and #31 of 71 counties in Wisconsin. See methodology · corpus placement.

Waupaca County standing, lower-flagged corpus third

Flagged-system rate 63.0% is at or below the corpus lower third (≤ 92.7% flagged) across 2,973 counties with ≥3 SDWIS systems . Health-based share 16.2% is health-based share in the middle third (≤ 24.5%) . UCMR5 detect rate 66.7% is UCMR5 detect rate above the tested-pool upper third (> 33.3%) . Population served ranks #1,185 of 3,254 · #31 of 71 in Wisconsin.

Flagged-rate neighbourhood around Waupaca County

Lowest/highest poles plus in-state counties nearest Waupaca County on % of SDWIS systems with ≥1 violation. Full ladder: /counties.

0% 20% 40% 60% 80% 100% Bayfield · lowest Douglas · near Waupaca · this county Milwaukee · highest 52.1% 60.8% 61.4% 62.1% 63% 65.6% 95.3%

Source: EPA SDWIS (county aggregates) As of 2026-05-15

Water Systems

System Name Population Violations PFAS
New London Waterworks 7,187 447 Detected
Waupaca Waterworks 6,062 41 Detected
Clintonville Utilities 4,635 228 Clean
Weyauwega Waterworks 1,856 204 -
Manawa Waterworks 1,300 29 -
Marion Waterworks 1,293 4 -
Iola Waterworks 1,249 25 -
Wisconsin Veterans Home 1,240 26 -
Kinney Lake Cmpgd Site 701 615 11 -
Victory Ch 585 0 -
Northport Mart 502 0 -
Waupaca High Sch 400 0 -
Embarrass Waterworks 347 957 -
Fremont RV Park Office 300 10 -
Fremont RV Park Near Lake 300 4 -
Rio Lobo LLC 255 0 -
St Paul Lutheran Ch Fremont 235 1 -
Rawhide Boys Ranch Central Services 230 2 -
El Poblano Mexican-American Grill 220 18 -
Pine Tree Supper Club 220 6 -
Chef Chus Chinese Restaurant 150 16 -
Readfield Elementary School 150 30 -
Chain Exploration Center 150 15 -
Fremont Elementary School 145 22 -
Oakwood Estates MHP 110 39 -
Northland Sports Bar & Grill 110 18 -
Bear Lake Resort & Cmpgd 110 21 -
Silver Lake Lanes 110 28 -
Nauti Turtle The 110 0 -
Sunset Bp Convenience Store 110 0 -
Spencer Lake Christian Cntr Dining Hall 110 0 -
Dings Dock 110 2 -
Wheelhouse Restr 110 10 -
Meyers Clint Mar Supper Club 110 0 -
Spencer Lake Christian Center North Lodge 110 0 -
WI DNR Hartman Ck Beach 101 14 -
Glen Cairn Golf Course Clubhouse 100 23 -
Bear Creek Travel Plaza 100 25 -
Health & Fitness Headquarters 100 0 -
Rawhide Youth Homes 92 17 -
Camp Onaway Dining Hall 80 8 -
Boardwalk Mhc 71 205 -
Camp Tamarack Basile Retreat Ctr 70 9 -
Camp Tamarack John Gray Lodge 70 0 -
Mother Goose Family Daycare Center 66 26 -
WI DNR Hartman Ck Whisp Pines 51 17 -
WI DNR Hartman Ck Fca Showers 51 15 -
Rustic Woods Cmpgd Bathrooms 50 24 -
Royalton Station Mini Mart 50 10 -
Waupaca Bowl 50 6 -

Compare beyond Wisconsin

Lower-flagged peers for Waupaca County

Cross-state counties nearest Waupaca County on flagged-system share (63.0%) and cumulative violation count (3,818). In-state neighbours stay on the compliance plate above.

Similar flagged-system rate

Nearest cross-state counties by % of SDWIS systems with at least one violation on record.

4 peers

Similar violation load

Nearest cross-state counties by cumulative SDWIS violation count (all systems in the county).

4 peers
Data sourced from EPA SDWIS and UCMR5 PFAS monitoring data. See our methodology for details. Retrieved and formatted by PlainWater

Every figure on PlainWater is rendered directly from EPA SDWIS drinking-water data, no number is typed in by an editor. This page draws directly on EPA SDWIS data, no figure is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these numbers, or report a data error.