z22

As part of the German census, a number of socio-economic indicators are published at a small-scale grid level (100m, 1km, 10km). Usually the corresponding data files are very large and hard to work with. z22 aims to quickly and efficiently retrieve German census grid data. The package also eases comparisons to grid data from the census 2011 by establishing a standardized feature format.

Powered by the z22data data repository which hosts the census grid data in small and digestible chunks. Based on the predecessor package z11 which allows easy access to the gridded data from the Census 2011.

Installation

You can install the development version of z22 like so:

pak::pkg_install("jslth/z22")

Example

The package contains a main function, z22_data, to retrieve and process census grid data. The following example downloads a feature grid on the vacancy share in Germany at a 1x1 km resolution.

library(z22)
library(terra)

grid_vac <- z22_data("vacancies", res = "10km", rasterize = TRUE)
grid_vac
#> class       : SpatRasterDataset 
#> subdatasets : 1 
#> dimensions  : 87, 65 (nrow, ncol)
#> nlyr        : 1 
#> resolution  : 10000, 10000  (x, y)
#> extent      : 4035000, 4685000, 2685000, 3555000  (xmin, xmax, ymin, ymax)
#> coord. ref. : ETRS89-extended / LAEA Europe (EPSG:3035) 
#> source(s)   : memory 
#> names       : cat_0

Code for the plot

library(ggplot2)

df_vac <- z22_pivot_longer(grid_vac, "vacancies")
ggplot(df_vac) +
  geom_tile(aes(x, y, fill = value)) +
  coord_sf(crs = 3035) + 
  facet_wrap(~category, nrow = 2) +
  scale_fill_viridis_c("Share", na.value = "transparent", transform = "log2") +
  theme_bw() +
  labs(x = NULL, y = NULL) +
  theme(panel.grid = element_blank(), axis.text = element_blank())

Available data

Theme	Name	Description	Zensus22	Zensus11 (100m)	Zensus11 (1km)
Population	population	Population	✅	✅	✅
Population	citizens	Number of german citizens, 18 or older	✅	❌	❌
Population	foreigners	Share of foreigners	✅	❌	✅
Population	foreigners_from_18	Share of foreigners, 18 or older	✅	❌	❌
Population	birth_country	Country of birth (groups)	✅	✅	❌
Population	sex	Sex	❌	✅	❌
Population	women	Share of women	❌	❌	✅
Population	religion	Religion	❌	✅	❌
Population	citizenship	Citizenship	✅	✅	❌
Population	citizenship_group	Citizenship (groups)	✅	✅	❌
Population	citizenship_origin	Citizenship by selected countries	❌	✅	❌
Population	citizenship_total	Number of citizenships	❌	✅	❌
Population	age_avg	Average age	✅	❌	✅
Population	age_short	Age (five classes of years)	✅	✅	❌
Population	age_long	Age (ten years age groups)	✅	✅	❌
Population	age_under_18	Share of people under 18	✅	❌	✅
Population	age_from_65	Share of people 65 or older	✅	❌	✅
Population	marital_status	Marital status	✅	✅	❌
Families	families	Total number of families	✅	✅	❌
Families	family_type	Type of core family (by children)	✅	✅	❌
Families	family_size	Size of core family	❌	✅	❌
Households	households	Total number of private households	✅	✅	❌
Households	household_family	Private households by family types	❌	✅	❌
Households	household_lifestyle	Private households by lifestyle	❌	✅	❌
Households	household_senior	Private households by senior status	❌	✅	❌
Households	household_size_avg	Average household size	✅	❌	✅
Households	household_size_group	Household size (groups)	✅	✅	❌
Dwellings	dwellings	Total number of dwellings	✅	✅	❌
Dwellings	rent_avg	Average net cold rent	✅	❌	❌
Dwellings	dwelling_occupancy	Use by household occupancy	❌	✅	❌
Dwellings	dwelling_ownership_home	Ownership of the dwelling	❌	✅	❌
Dwellings	dwelling_ownership_property	Dwellings by form of ownership	❌	✅	❌
Dwellings	owner_occupier	Share of owner occupiers	✅	❌	❌
Dwellings	vacancies	Share of vacancies	✅	❌	✅
Dwellings	market_vacancies	Share of market active vacancies	✅	❌	❌
Dwellings	inhabitant_space	Average living space per inhabitant	✅	❌	✅
Dwellings	dwelling_space	Average living space per dwelling	✅	❌	✅
Dwellings	floor_space	Floor space of the dwelling (10m² intervals)	✅	✅	❌
Dwellings	dwelling_rooms	Dwellings by number of rooms	✅	✅	❌
Dwellings	dwelling_constr_year	Dwellings by construction year (microcensus classes)	❌	✅	❌
Dwellings	dwelling_building_dwellings	Dwellings by number of dwellings in the building	❌	✅	❌
Dwellings	dwelling_building_size	Dwellings by building type and size	✅	✅	❌
Dwellings	dwelling_building_type	Dwellings by residential usage type	❌	✅	❌
Dwellings	dwelling_building_design	Dwelling by building design	❌	✅	❌
Dwellings	dwelling_heat_type	Dwellings by predominant heating type	✅	✅	❌
Dwellings	dwelling_heat_src	Dwellings by energy source of heating	✅	❌	❌
Buildings	buildings	Total number of buildings	✅	✅	❌
Buildings	building_ownership_property	Buildings by form of ownership	❌	✅	❌
Buildings	building_constr_year	Buildings by construction year (microcensus classes)	✅	✅	❌
Buildings	building_dwellings	Residential buildings by number of dwellings in the building	✅	✅	❌
Buildings	building_size	Residential buildings by building type and size	✅	✅	❌
Buildings	building_type	Buildings by residential usage type	❌	✅	❌
Buildings	building_design	Buildings by building design	❌	✅	❌
Buildings	building_heat_type	Buildings by predominant heating type	✅	✅	❌
Buildings	building_heat_src	Buildings by energy source of heating	✅	❌	❌