60 Urban Green Space Statistics - bestlawnmowersreview.com

These urban green space figures cover the measurement periods and populations identified in the available source material. Estimates, surveys and forecasts retain their reported scope.

Key Urban Green Space Statistics

The main findings are:

The C40 comparison covered 96 cities worldwide (2020; C40 cities).
The Latin American city study covered 371 cities in 11 countries (study dataset).
Climate zone accounted for 17% of variable importance in explaining park count per capita (study model; 371 Latin American cities).
WHO’s access benchmark is at least 0.5 hectares of public greenspace within 300 meters of a person’s home (WHO recommendation cited in 2024 study; urban residents).
The 70%-access NDVI equivalent ranged from 0.498 to 0.767 (2020 model translation; 96 C40 cities).
The mean NDVI across the 96 C40 cities was 0.538 (2020).
Latin American city NDVI ranged from 0.10 to 0.80 (2017 satellite observations; 371 Latin American cities).
Climate zone accounted for 8% of variable importance in explaining park area per capita (study model; 371 Latin American cities).
The study operationalized a 15-minute walk as a 1,000-meter buffer (2020 study method; 96 C40 cities).
The green-area-to-NDVI regressions explained an average 83% of NDVI variance (2020 model translation; 96 C40 cities).
C40-city NDVI ranged from 0.148 to 0.739 (2020; 96 C40 cities).
Mean NDVI in the Latin American sample was 0.53 (2017 satellite observations; 371 Latin American cities).
The European-city study covered 386 cities (study dataset).
The study used 10-meter native pixels aggregated to 100-meter resolution for green-area measurement (2020 study method; 96 C40 cities).
Individual green-area-to-NDVI model R-squared values ranged from 57% to 94% (2020 model translation; 96 C40 cities).

Key Urban Green Space Statistics
Urban green space statistics: global city coverage and access benchmarks
Urban green space data by region, climate and city form
Urban green space statistics for Latin American cities
Urban green space measurement trends and planning targets
Urban green space access and health outcome statistics

Urban green space statistics: global city coverage and access benchmarks

The C40 comparison covered 96 cities worldwide (2020; C40 cities). (Tracking Progress Toward Urban Nature…)
The mean NDVI across the 96 C40 cities was 0.538 (2020). (Tracking Progress Toward Urban Nature…)
C40-city NDVI ranged from 0.148 to 0.739 (2020; 96 C40 cities). (Tracking Progress Toward Urban Nature…)
The C40 Urban Nature Declaration target is at least 30% green area within each city (2030 target; C40 target). (Tracking Progress Toward Urban Nature…)
The higher end of the C40 quality-cover target is 40% green area (2030 target; C40 target). (Tracking Progress Toward Urban Nature…)
The equitable-distribution target is 70% of residents near green or blue public space within a 15-minute walk or bike ride (2030 target; C40 target). (Tracking Progress Toward Urban Nature…)
77 of 96 C40 cities met the 30% green-area threshold (2020). (Tracking Progress Toward Urban Nature…)
80% of C40 cities met the lower quality-total-cover target (2020; 96 C40 cities). (Tracking Progress Toward Urban Nature…)
At least 60% of cities in every C40 region met the 30% green-area target (2020; C40 regions). (Tracking Progress Toward Urban Nature…)
Nearly 90% of North American and European C40 cities met the 40% quality-cover level (2020). (Tracking Progress Toward Urban Nature…)
45 C40 cities met the 70% nearby-natural-space access target (2020; 96 C40 cities). (Tracking Progress Toward Urban Nature…)
47% of C40 cities met the equitable-spatial-distribution target (2020; 96 C40 cities). (Tracking Progress Toward Urban Nature…)
More than 75% of North American C40 cities met the nearby-natural-space target (2020). (Tracking Progress Toward Urban Nature…)
Fewer than 10% of Latin American and African C40 cities met the nearby-natural-space target (2020). (Tracking Progress Toward Urban Nature…)
18 C40 cities had more than 90% of their population near natural space (2020; 96 C40 cities). (Tracking Progress Toward Urban Nature…)
Lima, Karachi and Dubai each had less than 20% of residents near natural space (2020). (Tracking Progress Toward Urban Nature…)
45 C40 cities met both the quality-cover and equitable-distribution targets (2020; 96 C40 cities). (Tracking Progress Toward Urban Nature…)
The mean NDVI equivalent to 30% green area was 0.478 (2020 model translation; 96 C40 cities). (Tracking Progress Toward Urban Nature…)
The 30%-green-area NDVI equivalent ranged from 0.352 to 0.565 (2020 model translation; 96 C40 cities). (Tracking Progress Toward Urban Nature…)
The mean NDVI equivalent to 40% green area was 0.528 (2020 model translation; 96 C40 cities). (Tracking Progress Toward Urban Nature…)
The 40%-green-area NDVI equivalent ranged from 0.428 to 0.612 (2020 model translation; 96 C40 cities). (Tracking Progress Toward Urban Nature…)
The mean NDVI equivalent to 70% nearby-natural-space access was 0.660 (2020 model translation; 96 C40 cities). (Tracking Progress Toward Urban Nature…)

C40 network cities, not all cities globally.

Satellite-derived NDVI is a vegetation-index measure, not a direct area measure.

Satellite-derived measure.

Policy target, not an observed outcome.

Policy target range.

Access definition combines green and blue public space.

Landcover definition excludes blue space.

Equivalent to 77 cities in this study.

Regional groups have different city counts.

Study reports nearly 90%, not an exact count.

Nearby space includes green and blue space.

Equivalent to 45 cities in the study.

Study reports a threshold comparison, not an exact percentage.

Natural space includes qualifying green or blue space.

City-specific access metric includes green and blue space.

Both targets use the study’s landcover and proximity definitions.

Regression-derived translation, not a direct observation.

Regression-derived city range.

Regression-derived translation.

Urban green space data by region, climate and city form

The Latin American city study covered 371 cities in 11 countries (study dataset). (Potential drivers of urban green…)
Latin American city NDVI ranged from 0.10 to 0.80 (2017 satellite observations; 371 Latin American cities). (Potential drivers of urban green…)
Mean NDVI in the Latin American sample was 0.53 (2017 satellite observations; 371 Latin American cities). (Potential drivers of urban green…)
Green-space coverage in Latin American cities ranged from 4% to 72% of city area (study dataset; 371 Latin American cities). (Potential drivers of urban green…)
Mean green-space coverage in the Latin American sample was 41% of city area (study dataset; 371 Latin American cities). (Potential drivers of urban green…)
Average green-space area was 123,220 square meters per 1,000 residents (study dataset; 371 Latin American cities). (Potential drivers of urban green…)
Average park area was 2,142 square meters per 1,000 residents (study dataset; 371 Latin American cities). (Potential drivers of urban green…)
Arid Latin American cities had 12–14 percentage points less city area covered by green space than temperate and tropical cities (study dataset; Arid versus temperate/tropical Latin American cities). (Potential drivers of urban green…)
The arid-city subgroup included 55 hot-arid cities (study dataset; Arid Latin American cities). (Potential drivers of urban green…)
The arid-city subgroup included 24 cold-arid cities (study dataset; Arid Latin American cities). (Potential drivers of urban green…)
Climate zone accounted for 54% of variable importance in explaining Latin American city NDVI (study model; 371 Latin American cities). (Potential drivers of urban green…)
Climate zone accounted for 43% of variable importance in explaining green-space percentage (study model; 371 Latin American cities). (Potential drivers of urban green…)
Climate zone accounted for 28% of variable importance in explaining green-space area per capita (study model; 371 Latin American cities). (Potential drivers of urban green…)
The NDVI random forest explained 65% of variance, with RMSE 0.08 (study model; 371 Latin American cities). (Potential drivers of urban green…)
The green-space-percentage model explained 41% of variance, with RMSE 9 percentage points (study model; 371 Latin American cities). (Potential drivers of urban green…)
The green-space-per-capita model explained 63% of variance, with RMSE 42,352 square meters per 1,000 people (study model; 371 Latin American cities). (Potential drivers of urban green…)

Cities had more than 100,000 residents.

Satellite-derived annual-maximum NDVI.

Satellite-derived measure.

Land-cover green-space definition.

Land-cover measure, not necessarily public access.

Includes mapped green space, not only parks.

Park area is narrower than total green-space area.

Group comparison, not a causal estimate.

Subgroup count.

Random-forest importance is predictive, not causal.

Out-of-sample predictive performance context is not stated in this claim.

Random-forest model fit.

Urban green space statistics for Latin American cities

Climate zone accounted for 17% of variable importance in explaining park count per capita (study model; 371 Latin American cities). (Potential drivers of urban green…)
Climate zone accounted for 8% of variable importance in explaining park area per capita (study model; 371 Latin American cities). (Potential drivers of urban green…)
The European-city study covered 386 cities (study dataset). (The scaling of green space…)
European urban green-space coverage averaged 18.6% (study dataset; 386 European cities). (The scaling of green space…)
European city green-space coverage ranged from 1.9% to 46% (study dataset; 386 European cities). (The scaling of green space…)
45.2 million people lived in European cities in the lowest green-space-coverage quartile (study population; European cities in the lowest coverage quartile). (The scaling of green space…)
The lowest European coverage quartile was approximately 2%–13% green space (study dataset; 386 European cities). (The scaling of green space…)
Per-capita green-space provision in the European sample varied from 3–4 square meters to more than 300 square meters per person (study dataset; 386 European cities). (The scaling of green space…)
The smallest cited European per-capita values occurred in Cádiz, Fuenlabrada, Almería and Reggio di Calabria at 3–4 square meters per person (study dataset; Named European cities). (The scaling of green space…)
Liège, Oulu and Valenciennes each had more than 300 square meters of green space per person (study dataset; Named European cities). (The scaling of green space…)

Random-forest importance is predictive, not causal.

Study sample, not all European urban areas.

Study’s standardized city-area definition.

Quartile defined as approximately 2%–13% coverage.

Quartile range is approximate as reported.

City-level per-capita values, not a common national standard.

Examples from the study, not a complete ranking.

Urban green space measurement trends and planning targets

WHO’s access benchmark is at least 0.5 hectares of public greenspace within 300 meters of a person’s home (WHO recommendation cited in 2024 study; urban residents). (Tracking Progress Toward Urban Nature…)
The study operationalized a 15-minute walk as a 1,000-meter buffer (2020 study method; 96 C40 cities). (Tracking Progress Toward Urban Nature…)
The study used 10-meter native pixels aggregated to 100-meter resolution for green-area measurement (2020 study method; 96 C40 cities). (Tracking Progress Toward Urban Nature…)
The equitable-distribution NDVI regressions had mean R-squared 0.597 (2020 model translation; 96 C40 cities). (Tracking Progress Toward Urban Nature…)
Equitable-distribution NDVI regression R-squared values ranged from 0.213 to 0.820 (2020 model translation; 96 C40 cities). (Tracking Progress Toward Urban Nature…)
Equitable-distribution NDVI regressions had mean RMSE 0.221 (2020 model translation; 96 C40 cities). (Tracking Progress Toward Urban Nature…)
Equitable-distribution NDVI regression RMSE ranged from 0.091 to 0.340 (2020 model translation; 96 C40 cities). (Tracking Progress Toward Urban Nature…)

Guideline benchmark, not a measured global average; the study applies the 0.5-hectare threshold to public-space proximity.

Walking-distance proxy; actual routes and mobility differ.

Measurement-design context, included because it defines the area statistic.

Model-fit statistic.

Model-fit range.

Model error metric.

Model error range.

Urban green space access and health outcome statistics

The 70%-access NDVI equivalent ranged from 0.498 to 0.767 (2020 model translation; 96 C40 cities). (Tracking Progress Toward Urban Nature…)
The green-area-to-NDVI regressions explained an average 83% of NDVI variance (2020 model translation; 96 C40 cities). (Tracking Progress Toward Urban Nature…)
Individual green-area-to-NDVI model R-squared values ranged from 57% to 94% (2020 model translation; 96 C40 cities). (Tracking Progress Toward Urban Nature…)
The green-area-to-NDVI model RMSE averaged 0.077 (2020 model translation; 96 C40 cities). (Tracking Progress Toward Urban Nature…)
The green-area-to-NDVI RMSE ranged from 0.051 to 0.101 (2020 model translation; 96 C40 cities). (Tracking Progress Toward Urban Nature…)