Redistricting weights for Norwegian geographic units

Returns a data.table of weighting factors used to convert historical data recorded under old administrative boundaries to the 2024 borders. Each row maps an original location code (as of a given calendar year) to the current location code, with a proportional weighting.

Usage

nor_locations_redistricting(border = csdata::config$border_nor)

Source

Statistics Norway (SSB) municipal reform documentation.

Arguments

border

Integer. The target geographic border year. Valid values: 2024. Defaults to csdata::config$border_nor.

Value

A data.table with columns:

location_code_current

Location code under the target border year. Each of the 421 distinct values also appears in nor_locations_names().

location_code_original

Location code as it existed in calyear. Of the 941 distinct values, 520 are retired codes that nor_locations_names() no longer lists.

calyear

The calendar year to which location_code_original applies.

weighting

Proportional weight to apply when you aggregate from the original location to the current location. Values sum to 1 within each location_code_original / calyear group, on all 40,819 of those groups. A row spread across several current locations is therefore split, not duplicated. Values need not sum to 1 within a location_code_current / calyear group: 4,334 of those 35,160 groups do not.

granularity_geo

Geographic granularity: one of "nation", "county", "municip", "wardbergen", "wardoslo", "wardstavanger", "wardtrondheim", "extrawardoslo", "missingwardbergen", "missingwardoslo", "missingwardstavanger", "missingwardtrondheim", "notmainlandcounty", "notmainlandmunicip", "missingcounty", "missingmunicip".

See also

No vignette covers this function. vignette("locations_norway", package = "csdata") tabulates the location_code values returned by nor_locations_names(), which are the values location_code_current is drawn from.

Examples

d <- csdata::nor_locations_redistricting()
head(d)
#>    location_code_current location_code_original calyear weighting
#>                   <char>                 <char>   <num>     <num>
#> 1:            nation_nor             nation_nor    1975         1
#> 2:            nation_nor             nation_nor    1976         1
#> 3:            nation_nor             nation_nor    1977         1
#> 4:            nation_nor             nation_nor    1978         1
#> 5:            nation_nor             nation_nor    1979         1
#> 6:            nation_nor             nation_nor    1980         1
#>    granularity_geo
#>             <char>
#> 1:          nation
#> 2:          nation
#> 3:          nation
#> 4:          nation
#> 5:          nation
#> 6:          nation
d[calyear == 2019 & granularity_geo == "municip"]
#>      location_code_current location_code_original calyear weighting
#>                     <char>                 <char>   <num>     <num>
#>   1:       municip_nor0301        municip_nor0301    2019         1
#>   2:       municip_nor1101        municip_nor1101    2019         1
#>   3:       municip_nor1103        municip_nor1103    2019         1
#>   4:       municip_nor1103        municip_nor1141    2019         1
#>   5:       municip_nor1103        municip_nor1142    2019         1
#>  ---                                                               
#> 426:       municip_nor5628        municip_nor2025    2019         1
#> 427:       municip_nor5630        municip_nor2024    2019         1
#> 428:       municip_nor5632        municip_nor2028    2019         1
#> 429:       municip_nor5634        municip_nor2002    2019         1
#> 430:       municip_nor5636        municip_nor2027    2019         1
#>      granularity_geo
#>               <char>
#>   1:         municip
#>   2:         municip
#>   3:         municip
#>   4:         municip
#>   5:         municip
#>  ---                
#> 426:         municip
#> 427:         municip
#> 428:         municip
#> 429:         municip
#> 430:         municip