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KwaZulu-Natal Crime: What the Data Reveals

Over a decade of SAPS data across 184 precincts — patterns, shifts, and surprises

2013–2025184 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 KwaZulu-Natal history. But the recovery has been uneven. 43% of all precincts are still below their pre-COVID crime levels.

37%

Exceeded pre-COVID levels

69 precincts

20%

Recovered to pre-COVID levels

37 precincts

43%

Still below pre-COVID levels

80 precincts

Biggest overshoot

Gamalakhe surged +66.7% above pre-COVID levels

Biggest improvement

Int Airp King Shaka dropped -57.1% and kept falling

Recovery by district

Kwazulu-Natal: ports of entry: Air
-57.1% below
Kwazulu-Natal: ports of entry: Sea
-23% below
eThekwini
-8.7% below
Uthukela
-3.2% below
Umzinyathi
-2.7% below
Umkhanyakude
-2.5% below
Zululand
-2.3% below
Amajuba
-1.3% recovered
King Cetshwayo
-0.7% recovered
Harry Gwala
+2.1% exceeded
Umgungundlovu
+3.4% exceeded
Ugu
+12.9% exceeded
Ilembe
+13.6% exceeded

Source: SAPS quarterly crime statistics, comparing 2019-2020 to 2022-2023 financial years. 186 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 45% of combined property and violent crime in 2018-2019 — down to 35% by 2022-2023. Violent crime is taking a larger share.

Inverse trends: burglary down, robbery up

In 52 precincts, burglary decreased over 15% while robbery increased over 15% — a pattern worth monitoring.

Muden
Burglary -74%Robbery +25%
Donnybrook
Burglary -69%Robbery +40%
Hilton-Kzn
Burglary -61%Robbery +214%
Maphumulo
Burglary -61%Robbery +145%
Folweni
Burglary -56%Robbery +61%
Hammarsdale
Burglary -55%Robbery +16%
Melmoth
Burglary -54%Robbery +34%
Glendale
Burglary -52%Robbery +114%
Alexandra Road
Burglary -51%Robbery +20%
Chatsworth
Burglary -51%Robbery +26%
Ingwavuma
Burglary -51%Robbery +154%
Prestbury
Burglary -51%Robbery +17%
Bhekithemba
Burglary -50%Robbery +53%
Wartburg
Burglary -48%Robbery +64%
Ntuzuma
Burglary -47%Robbery +38%
Mtubatuba
Burglary -46%Robbery +19%
Nsuze
Burglary -46%Robbery +39%
Hibberdene
Burglary -45%Robbery +20%
Umzinto
Burglary -45%Robbery +27%
Kwandengezi
Burglary -43%Robbery +75%
Mpumalanga KZN
Burglary -40%Robbery +108%
Hluhluwe
Burglary -39%Robbery +17%
Nquthu
Burglary -39%Robbery +50%
Kwamsane
Burglary -38%Robbery +19%
Inanda
Burglary -35%Robbery +78%
Kwamakhutha
Burglary -34%Robbery +31%
Pongola
Burglary -33%Robbery +51%
Ezinqoleni
Burglary -31%Robbery +61%
Taylors Halt
Burglary -31%Robbery +18%
Amangwe
Burglary -30%Robbery +43%
Mehlomnyama
Burglary -30%Robbery +39%
Nondweni
Burglary -30%Robbery +1100%
Umsunduzi
Burglary -30%Robbery +62%
Umkomaas
Burglary -29%Robbery +18%
Mbongolwane
Burglary -28%Robbery +56%
Ulundi
Burglary -28%Robbery +18%
Ixopo
Burglary -27%Robbery +63%
New Hanover
Burglary -27%Robbery +59%
Impendle
Burglary -25%Robbery +38%
Ekuvukeni
Burglary -24%Robbery +71%
Msinsini
Burglary -24%Robbery +94%
Umbumbulu
Burglary -24%Robbery +22%
Dalton
Burglary -23%Robbery +240%
Ndwedwe
Burglary -23%Robbery +27%
Paddock
Burglary -23%Robbery +100%
Verulam
Burglary -23%Robbery +79%
Kwadabeka
Burglary -22%Robbery +100%
St Faiths
Burglary -22%Robbery +74%
Dannhauser
Burglary -20%Robbery +58%
Tongaat
Burglary -19%Robbery +31%
Cramond
Burglary -18%Robbery +250%
Umhlali
Burglary -15%Robbery +114%

Source: SAPS crime statistics, all 184 KwaZulu-Natal 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
Donnybrook5 years -8.7%
Amangwe4 years -10%
Msinga4 years -6.6%
Point4 years -5.5%
Ntabamhlophe4 years -4.9%
Pinetown4 years -3.4%
Ematimatolo3 years -16.5%
Umbilo3 years -16.4%
Wasbank3 years -14.6%
Berea3 years -14.5%

10 precincts consistently worsening

PrecinctIncrease streakAvg. yearly rise
Bayview5 years +15.2%
Nongoma5 years +12.9%
Umhlali5 years +12%
Durban North5 years +11.6%
Osizweni5 years +10.8%
Lamontville5 years +10.1%
Mpophomeni5 years +7.6%
Thornville5 years +7.4%
Richards Bay5 years +6.9%
Kwadabeka5 years +6.4%

Biggest warning sign: Bayview

Bayview has averaged +15% annual crime growth over 5 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 KwaZulu-Natal'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 2025–Mar 2026, Umbilo — a Very High crime precinct — saw crime drop 23.2% vs Apr 2024–Mar 2025. Meanwhile, historically quiet Colenso (Low crime) surged +34%.

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 →