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Free State Crime: What the Data Reveals

Over a decade of SAPS data across 112 precincts — patterns, shifts, and surprises

2013–2025112 precincts4.6 million data points

The COVID Recovery Story

How did crime bounce back after lockdowns?

COVID lockdowns caused the single biggest crime drop in recorded Free State history. But the recovery has been uneven. 29% of all precincts are still below their pre-COVID crime levels.

56%

Exceeded pre-COVID levels

62 precincts

15%

Recovered to pre-COVID levels

17 precincts

29%

Still below pre-COVID levels

32 precincts

Biggest overshoot

Wanda surged +400% above pre-COVID levels

Biggest improvement

Verkykerskop dropped -51.6% and kept falling

Recovery by district

Thabo Mofutsanyana
-1.6% recovered
Mangaung
+3.8% exceeded
Fezile Dabi
+4.9% exceeded
Lejweleputswa
+17.8% exceeded
Xhariep
+43.7% exceeded

Source: SAPS quarterly crime statistics, comparing 2019-2020 to 2022-2023 financial years. 111 precincts with complete data for both periods.

Crime Type Shifts

Crime isn't just changing in volume — it's changing in type

While total crime dropped, the composition of crime shifted dramatically. The data shows a notable shift away from property crime toward violent crime categories.

Rising

Falling

Property vs violent crime — the gap is closing

Property crime made up 44% of combined property and violent crime in 2018-2019 — down to 39% by 2022-2023. Violent crime is taking a larger share.

Inverse trends: burglary down, robbery up

In 7 precincts, burglary decreased over 15% while robbery increased over 15% — a pattern worth monitoring.

Boshof
Burglary -65%Robbery +33%
Thaba-Nchu
Burglary -45%Robbery +28%
Viljoensdrif
Burglary -30%Robbery +22%
Ficksburg
Burglary -28%Robbery +47%
Brandfort
Burglary -24%Robbery +160%
Bloemspruit
Burglary -21%Robbery +16%
Zastron
Burglary -20%Robbery +200%

Source: SAPS crime statistics, all 112 Free State precincts, 2018-2019 vs 2022-2023 financial years.

Hidden Gems & Warning Signs

Who's getting better, who's getting worse?

The majority of precincts show a downward crime trajectory over 5 years. Only 10 are consistently worsening. Here are the standouts in both directions.

Top 10 consistent improvers

PrecinctDecline streakAvg. yearly drop
Namahadi4 years -6.3%
Roadside3 years -10%

10 precincts consistently worsening

PrecinctIncrease streakAvg. yearly rise
Bethulie6 years +11.5%
Smithfield5 years +7.5%
Mafube5 years +6.5%
Hennenman4 years +6.7%
Petrusburg3 years +28%
Rouxville3 years +18.1%
Hertzogville3 years +14.1%
Hoopstad3 years +11.5%
Koppies3 years +9.1%
Edenburg3 years +7.2%

Biggest warning sign: Bethulie

Bethulie has averaged +12% annual crime growth over 6 consecutive years of increase — the most sustained worsening trend in the province.

The Trend Surprises

High-crime areas improving, low-crime areas worsening — the trends defy expectations

Some of the Free State's highest-crime precincts are showing the biggest improvements, while several traditionally quiet areas are seeing sharp increases. The data challenges assumptions about which areas are getting safer.

Surprising movers

In Apr–Dec 2025, Navalsig — a High crime precinct — saw crime drop 24% vs Apr–Dec 2024. Meanwhile, historically quiet Rouxville (Low crime) surged +79%.

Source: SAPS crime statistics, 2025-2026 vs previous year. "High-crime" = precincts classified as High or Very High crime volume (top 40%). "Low-crime" = precincts classified as Very Low or Low (bottom 40%).

Explore individual precincts

Search for any suburb or precinct to see its full crime statistics

Data Sources & Methodology

  • Crime data: SAPS quarterly crime statistics (2013-2025), publicly available at saps.gov.za
  • Population data: Stats SA Census 2022 Municipal Factsheet
  • All comparisons use complete 4-quarter financial years unless otherwise noted
  • Correlation analysis uses Pearson product-moment correlation coefficients
  • SAPS data reflects reported crime only. Under-reporting varies by area and crime type.
  • This analysis is for informational purposes only and should not be used as the sole basis for safety or property decisions. Full disclaimer
  • Full methodology →