# Working with Geography

## Understanding Geography Types

Nomis uses TYPE codes to organize geographies hierarchically:

    library(nomisdata)

    # Get all geography types
    types <- get_codes("NM_1_1", "geography", "TYPE")
    head(types)

    # Common types:
    # TYPE499 - Countries (UK, England, Wales, Scotland, NI)
    # TYPE464 - Local authorities
    # TYPE480 - Regions
    # TYPE460 - Parliamentary constituencies

## Looking Up Geographies

    # Search by name
    manchester <- lookup_geography("Manchester")
    print(manchester)

    # With type filter
    manchester_la <- lookup_geography("Manchester", type = "TYPE464")

## Fetching Data for Specific Areas

    # Single area
    london_data <- fetch_nomis(
      "NM_1_1",
      time = "latest",
      geography = "2013265927",  # London code
      measures = 20100
    )

    # Multiple areas
    cities <- c("1879048226", "1879048225")  # Manchester, Liverpool
    cities_data <- fetch_nomis(
      "NM_1_1",
      time = "latest",
      geography = cities,
      measures = 20100
    )

## Geography Hierarchies

    # Get all districts in a region
    north_east <- get_codes(
      "NM_1_1",
      "geography",
      search = "*north east*"
    )