ons_openapi gem
Ruby wrapper around the ONS OpenAPI - the UK Office of National Statistics's data API. The intention is to make it easy to quickly retrieve data. It may not expose the full functionality of the ONS OpenAPI.
This gem was partially written at Accountability Hack 2014, an event organised by Parliament, ONS, and NAO.
Please provide feedback via GitHub issues.
Example usage
Running in irb:
$ ONS_APIKEY=<your_ons_openapi_key> irb
require 'ons_openapi'
census = OnsOpenApi.context('Census')
religion_detailed = census.collection('Religion (detailed)')
religion_detailed.data_for('Islington')
#=> [["2011 Administrative Hierarchy", "Religion (Flat) (T059A)", "Time Dimension", "Value"],
# ["Islington", "All categories: Religion", "2011", 206125],
# ["Islington", "Christian", "2011", 82879],
# ["Islington", "Buddhist", "2011", 2117],
# ...
religion_detailed.data_for('Islington S')
#=> [["2011 Westminster Parliamentary Constituency Hierarchy", "Religion (Flat) (T059A)", "Time", "Value"],
# ["Islington South and Finsbury", "All categories: Religion", "2011", 102656],
# ["Islington South and Finsbury", "Christian", "2011", 42222],
# ["Islington South and Finsbury", "Buddhist", "2011", 1126],
# ...
religion_detailed.data_for('England')
#=> [["2011 Administrative Hierarchy", "Religion (Flat) (T059A)", "Time Dimension", "Value"],
# ["England", "All categories: Religion", "2011", 53012456],
# ["England", "Christian", "2011", 31479876],
# ["England", "Buddhist", "2011", 238626],
# ...
religion_detailed.data_for('North West')
#=> [["2011 Administrative Hierarchy", "Religion (Flat) (T059A)", "Time Dimension", "Value"],
# ["North West", "All categories: Religion", "2011", 7052177],
# ["North West", "Christian", "2011", 4742860],
# ["North West", "Buddhist", "2011", 20695]
religion_detailed.data_for('Scotland')
# RuntimeError: ONS Exception: 404 INTERNAL ERROR: Invalid dimension item code S92000003
religion_detailed.data_for('Woodlands')
# RuntimeError: more than one match, try one of:
#
# data_for('E05006341 Woodlands') or data_for('E05006341') see http://statistics.data.gov.uk/doc/statistical-geography/E05006341
#
# data_for('E05008891 Woodlands') or data_for('E05008891') see http://statistics.data.gov.uk/doc/statistical-geography/E05008891
#
# data_for('E05001234 Woodlands') or data_for('E05001234') see http://statistics.data.gov.uk/doc/statistical-geography/E05001234
#
# data_for('E05004981 Woodlands') or data_for('E05004981') see http://statistics.data.gov.uk/doc/statistical-geography/E05004981
Installation
gem install ons_openapi
then in Ruby code
require 'ons_openapi'
or if using bundler (as with Rails), add to the Gemfile
gem 'ons_openapi'
You must have an ExecJS supported runtime when running this gem. If you are using Mac OS X or Windows, you already have a JavaScript runtime installed in your operating system. Check ExecJS documentation to know all supported JavaScript runtimes.
The gem includes code from the JSON-stat Javascript Toolkit to parse JSON-stat formatted results from the ONS OpenAPI. ExecJS is used to run JSON-stat JavaScript code from within Ruby.
Register for API key
The ONS OpenAPI requires you register for an API key.
When using the gem, set an environment variable named ONS_APIKEY
with your API key value.
$ ONS_APIKEY=<your_ons_openapi_key>
Contexts
The datastore underneath the ONS OpenAPI is divided into four sections called contexts.
OnsOpenApi.context_names
#=> ["Census", "Socio-Economic", "Economic", "Social"]
OnsOpenApi.contexts.size
#=> 4
The Census context contains data from the 2011 Census in England and Wales.
Collections
Each context consists of several dataset collections.
economic = OnsOpenApi.context('Economic')
economic.collections.size
#=> 26
census = OnsOpenApi.context('Census')
census.collections.size
#=> 340
Use collection_names()
to view a list of collection names:
puts census.collection_names.select {|n| n[/religion/i]}
# DC1202EW Household composition by religion of Household Reference Person (HRP)
# DC2107EW Religion by sex by age
# DC2201EW Ethnic group by religion
# ...
# QS208EW Religion
# QS210EW Religion (detailed)
# ST210EWla Religion (non-UK born short-term residents)
Retrieve a collection using collection()
. Pass in the collection code, collection name, or collection code and name:
census.collection('QS210EW')
census.collection('Religion (detailed)')
census.collection('QS210EW Religion (detailed)')
Geographical hierarchies
Each collection can be filtered with different geographical hierarchies.
census = OnsOpenApi.context('Census')
religion = census.collection('Religion')
religion.geography_codes
# [
# ["2011STATH", "2011 Statistical Geography Hierarchy"],
# ["2011WARDH", "2011 Administrative Hierarchy"],
# ["2011PCONH", "2011 Westminster Parliamentary Constituency Hierarchy"]
# ]
Listing areas from geography hierarchy
Use geographies()
to get a hash of geography hierarchies. To get a list of geography items for a hierarchy, say '2011PCONH', do:
census = OnsOpenApi.context('Census')
religion = census.collection('Religion')
constituencies = religion.geographies['2011PCONH']
constituencies.map(&:label)
# ["Aberavon", "Aberconwy", "Aldershot", "Aldridge-Brownhills", ...
constituencies.map(&:item_code)
# ["E14000759", "E14000531", "E14000967", "E14000904", ...
To see area_types
in the hierarchy:
constituencies.map(&:area_type).map {|a| [a.codename, a.level]}.uniq
# [["Westminster Parliamentary Constituency", 3],
# ["Region", 2],
# ["Country", 1],
# ["England and Wales", 0]]
Or for hierarchy '2011WARDH', do:
areas = religion.geographies['2011WARDH']
areas.map(&:label)
# ["Aldwick East", "West Mersea", "Stowmarket Central", ...
areas.map {|a| [a.item_code, a.label, a.area_type.codename, a.area_type.level]}
# [["E05007576", "Aldwick East", "Electoral Ward/Division ", 7],
# ["E05004144", "West Mersea", "Electoral Ward/Division ", 7],
# ["E05007153", "Stowmarket Central", "Electoral Ward/Division ", 7]], ...
To see area_types
in the hierarchy:
areas.map(&:area_type).map {|a| [a.codename, a.level]}.uniq
# [["Electoral Ward/Division ", 7],
# ["Electoral Division", 7],
# ["Metropolitan District ", 6],
# ["Council Area", 4],
# ["County", 5],
# ["Non-metropolitan District", 6],
# ["London Borough ", 6],
# ["Unitary Authority", 5],
# ["Metropolitan County", 5],
# ["Country", 3],
# ["Great Britain", 1],
# ["United Kingdom", 0],
# ["Region", 4],
# ["England and Wales", 2],
# ["Inner and Outer London", 5]]
Data for a geographic area
Use data_for()
to retrieve data for a geography that matches given label_or_code.
census = OnsOpenApi.context('Census')
religion = census.collection('Religion')
religion.data_for('England')
religion.data_for('Islington S')
religion.data_for('E05002040')
Feedback
Please provide feedback via GitHub issues.