Jo Wood

Professor of Visual Analytics interested in design, geovisualization, visual storytelling and computational thinking.

Workspace

Fork

Public

2 collections

By

Jo Wood

Edited

Apr 9

Paused

3 forks

Importers

11 stars

Census 2021 Explorer

This page allows you to browse, download and map data from the England and Wales 2021 Census at a range of geographical granularities.

Data are from the Office for National Statistics (ONS). For a summary of data categories, see the ONS Census 2021 data dictionary. All data refer to estimates/measurements on census day March 21st 2021, or in some cases for the week prior to the census day.

1. Using this page

You can use this page in a number of ways, listed below in approximate order of computational sophistication.

1.1. Consult Appendix

Appendix A1 lists all the available ONS census tables in one place with links to the raw data (via their unique table name such as TS067) along with a brief description and list of categories used by each census variable. This can be easier than navigating the ONS site directly where locating the data you want is not always obvious.

1.2. Simple download as CSV files

If you just need a CSV file containing a census variable at a particular geographical granularity, choose the 'Simple download' option below, selecting the census variable from the dropdown list along with any desired supplementary data columns. Pressing the 'Save as CSV' button will give you a local copy of the data.

1.3. Convert results of a database query into a CSV file

For more sophisticated selection of census data such as choosing only a part of England or Wales, combining data tables, or grouping results, the 'Custom download' option allows you to specify any SQL query of the census data to generate a custom CSV file output.

1.4. Import census tables into an Observable document

See Hello census 2021 for example approaches for creating Observable documents that use the census data.

2. Background

2.1 Area referencing

Data are grouped at various geographical granularities, within which various census variables are counted. For privacy and accuracy reasons, not all variables are available at all geographies.

Note: Boundaries are those present during the March 2021 census and therefore do not include changes to boundaries since that time.

• Country (2 units): Either England or Wales.
• Region (10 units): Standard regions: NE, NW, Yorkshire & Humber, E Midlands, W Midlands, E, London, SE, SW, Wales.
• LA (331 units): Lower Tier Local Authorities.
• Constituency (573 units): Parliamentary constituencies for England and Wales.
• Ward (7638 units): Electoral wards and divisions.
• MSOA (7,264 units) Middle Layer Super Output Areas.
• LSOA (35,672 units) Lower Layer Super Output Areas.

Each area is referenced by a unique ONS area code (e.g. E02000001), its geographic level (e.g. MSOA), name label (e.g. City of London 001) and centroid location (cx and cy) in national grid coordinates (e.g. 552482,181222).

As geographies nest within each other (either precisely like LSOAs within MSOAs, or approximately like MSOAs within LAs), lookups to the codes of higher level geographies are provided in columns 'country', 'region', 'LA', 'MSOA' and 'TTWA2011'. TTWA2011 references LSOAs' enclosing Travel to Work Areas (TTWAs). These comprise aggregations of LSOAs into areas where at least 75% of people both who live in an area also work there and 75% of those who work in the area also live there. There are 174 TTWAs that overlap with England and Wales making them somewhat coarser scale than constituencies but arguably more 'natural' aggregations for many purposes. Note that the TTWAs based on the 2011 census are used here because the 2021 census date was during the Covid pandemic period where there were an unusually large number of people who were temporarily working from home.

For example the LSOA E01001714 ('Hackney 002A') has the MSOA value E02000346 ('Hackney 002'), the LA value E09000012 ('Hackney'), the TTWA E30000234 (London), the region value E12000007 ('London') and country value E92000001 ('England').

These core geo data are stored in the geo table:

The table above can also be downloaded as a CSV file: gicentre.github.io/data/census21/englandAndWales/geo.csv (5.2 MB)

A table of all category descriptions used by the census variables is also available – categoryLabels. Although this isn't needed if you are performing simple CSV downloads as described in Section 3, it can be downloaded as a separate CSV file:

gicentre.github.io/data/census21/englandAndWales/categoryLabels.csv (114 kB)

2.2 Census area boundaries

Geographic data are referenced using OSGB National Grid coordinates where 1 unit = 1 metre. For mapping, the boundaries of areas at each geographical granularity can be retrieved here as a topoJSON file. Each has simplified geometry keeping file sizes manageable while still being suitable for mapping.

• gicentre.github.io/data/census21/englandAndWales/countries.json (2 KB)
• gicentre.github.io/data/census21/englandAndWales/regions.json (5 KB)
• gicentre.github.io/data/census21/englandAndWales/constituencies.json (138 KB)
• gicentre.github.io/data/census21/englandAndWales/las.json (143 KB)
• gicentre.github.io/data/census21/englandAndWales/wards.json (1.7 MB)
• gicentre.github.io/data/census21/englandAndWales/msoas.json (1.9 MB)
• gicentre.github.io/data/census21/englandAndWales/lsoas.json (7.1 MB)
• gicentre.github.io/data/census21/englandAndWales/ttwa2011.json (215 KB)

Each feature has a single code property that stores its unique ONS code that can be used to relate it to the values in any of the census tables.

2.3 Cartogram Geographies

Additionally you can link census data to non-contiguous hex cartogram regions at selected scales. This can be useful if you wish to normalise map saliency by population (at the expense of some geographic accuracy). Available cartogram boundary files:

• gicentre.github.io/data/census21/englandAndWales/constituenciesHex.json (207 KB)

• gicentre.github.io/data/census21/englandAndWales/lasHex.json (137 KB)

• gicentre.github.io/data/census21/englandAndWales/msoasHex.json (2.1 MB)

• gicentre.github.io/data/census21/englandAndWales/backgroundHex.json (1 KB)

3. Simple Download

You can download a given census variable at a given geography in CSV format by making a selection below. The supplementary data, selectable via the tick boxes allow optional download of the area name, the x and y centroid coordinates of each area and any of the area's containing geographic units.

Most data tables group counts by 'category' represented by an integer (e.g. -8, 1, 2) that each represent a facet of the variable (e.g. N/A, 'student', 'notStudent'). By default these integer category labels are returned, but if you prefer the short description instead, select the 'Use category labels?' tickbox.

By default, data tables are saved in Tidy format with all category types in one column and their respective counts in a second 'value' column. To save as a wide table where each category type is its own column, select the 'Pivot to wide table?' tickbox.

Geography

CountryRegionConstituencyLAWardMSOALSOA

Variable------------ DemographypoppopDensityageageSexhouseholdshouseholdSizehouseholdCompositioncommunaldeprivationlivingpartnershipsex------------ Educationqualificationstudents------------ Ethnicity, language & religionethnicGroupethnicGroupDetailedethnicDiversitymainLanguagehouseholdLanguagelanguageDiversityukLanguagewelshLanguagewelshSpokenwelshSpokenAgewelshWrittenwelshReadingwelshUnderstandingnationalIdentitynationalIdentityDetailedreligionreligionDetailedreligiousDiversity------------ HousingaccommodationvehicleheatingageSexCommunalcommunalTypebedroomsbedroomOccupancyroomsroomOccupancytenuresecondAddresssecondAddressPurpose------------ Health and DisabilityhealthhealthASPdisabilitydisabilityASPdisabilityHouseholdcarecareASP------------ MigrationageArrivalcountryOfBirthregionOfBirthresidenceLengthmigrationpassportCountrypassportRegionarrivalshortTerm------------ Labour markethoursWorkedeconActivityemploymentHistoryindustrysocioEconoccupationoccupationDetailed------------ Sexual orientation & identitygendergenderGeneralsexualOrientationsexualOrientationGeneral------------ TravelworkDistanceworkTravelMode------------ Armed forcesforcesServednumberServedforcesLivingforcesServedReference

Extra columns

Area labelCentroidCountryRegionConstituencyLAMSOATTWA2011

Use category labels?Pivot to wide table?

Save as CSV

4. Custom Download

For more complex queries, such as combining tables or spatial filtering, you can submit SQL queries to the combined database by editing the database field below. If a query returns results, the table may be saved as a CSV file.

Some example queries:

Population, population density and number of households for MSOAs in England and Wales:

SELECT geo.code,geo.label,pop.value AS population, popDensity.value AS popDensity, households.value AS numHouseholds
  FROM geo,pop,popDensity,households
  WHERE geo.geography= 'MSOA' AND geo.code=households.code AND geo.code=pop.code AND geo.code=popDensity.code

The population of Welsh local authorities:

SELECT geo.code,geo.label,pop.value AS population
  FROM geo,pop
  WHERE geo.geography='LA' AND country='W92000004' AND geo.code=pop.code

The centroid locations of London LSOAs and the numbers of households with 4 dimensions of deprivation, ordered from the highest to lowest deprivation count:

SELECT geo.label,geo.cx,geo.cy,deprivation.value
  FROM geo,deprivation
  WHERE geo.geography='LSOA' AND region='E12000007' AND geo.code=deprivation.code AND deprivation.category=5
  ORDER BY deprivation.value DESC

A query can only make reference to tables that have been loaded into memory (shown below). To load a new census variable table, select it from the the variable drop-down list under Simple download above.

Downloaded tables: categoryLabels, geo, pop, popDensity.

Save as CSV

Appendices

A1. Census Variables

Each table in the database supporting this page represents a census variable at multiple geographical granularities. Source data are in Tidy format with category and value columns where values are the counts within each category for the given area. Areas are referenced by a unique ONS code.

For variables that have complex or non-intuitive categories, the core tables use the category code (an integer) provided by ONS and then a separate lookup table can be provided for code to description. These more complex categories are shown as tables below.

The census variables are grouped by theme and summarised below, but for full information see ONS census variables by topic. All data Crown Copyright and available under the Open Government Licence V.3.

Core area data: "geo"

Area name, centroid location in national grid coordinates and containing geographic areas.

A1.1 Demography Variables

Population counts: "pop"

Estimates of normal resident population on census day. Useful for converting other individual-related variables from counts to rates. Counts were derived by summing other count data in order to provide a comparator to convert absolute numbers into rates, and so do not necessarily provide a good estimate of the true total population for each area.

Population density TS006: "popDensity"

Estimate of population per square km on census day.

Age TS007: "age"

Age on census day, 21st March 2021. 0 indicates under 1 year old, 100 indicates aged 100 or over and other values represent (integer) age.

Note: Not available at more detailed geographies than MSOA in order to protect individual privacy.

Combined age and sex TS009: "ageSex"

Combined age and sex category where the first letter of the category name is either m or f and the remaining digits are the age from 0 (under 1 year old), 1, 2...90 (90 years old or older).

Note: Not available at more detailed geographies than LA in order to protect individual privacy.

Household Counts TS041: "households"

Number of households. Useful for converting other household-related attributes from counts into rates.

Household Size TS017: "householdSize"

Household composition TS003: "householdComposition"

Household or communal TS001: "communal"

The number of usual residents living in households or in communal establishments.

Deprivation Dimensions TS011: "deprivation"

Deprivation measured in 4 dimensions of 'employment', 'education', 'health and disability' and 'housing'. Counts are in categories depending on the number of deprivation categories a household falls into.

Living Arrangements TS010: "living"

Note: Not available at more detailed geographies than MSOA in order to protect individual privacy.

Legal partnership status TS002: "partnership"

Partnership status on census day.

Sex TS008: "sex"

Sex registered at birth.

A1.2 Education Variables

Highest level of qualification TS067: "qualification"

Usual residents aged 16 years and over who have academic, vocational, or professional qualifications classified by their highest qualification.

School children and full-time students TS068: "students"

Applies to usual residents aged 5 years old and over.

A1.3 Ethnicity, Language and Religion Variables

Ethnic group TS021: "ethnicGroup"

Detailed ethnic group TS022: "ethnicGroupDetailed"

Note: Not available at more detailed geographies than MSOA in order to protect individual privacy.

Household ethnic diversity TS023: "ethnicDiversity"

Main language TS024: "mainLanguage"

Note: Not available at more detailed geographies than LA in order to protect individual privacy.

Household language TS025: "householdLanguage"

The combination of adults and children within a household that have English (English or Welsh in Wales) as a main language.

Household language diversity TS026: "languageDiversity"

Proficiency in English (or Welsh in Wales) TS029: "ukLanguage"

Welsh language skills TS032: "welshLanguage"

Note: Only applies to Welsh geographies. All English units recorded as -8 (N/A).

Spoken Welsh language TS033: "welshSpoken"

Note: Only applies to Welsh geographies. All English units recorded as -8 (N/A).

Spoken Welsh language by age TS076: "welshSpokenAge"

Note: Only applies to Welsh geographies and no more detailed geography than LA in order to protect individual privacy. English units recorded as -8 (N/A).

Categories combine age and language comprehension where the first letter of the category name is one of s (spoken), n (not-spoken), or 'x' (not applicable) and the remaining digits are the age from 0 (under 1 year old), 1, 2...85 (85 years old or older).

Written Welsh language TS034: "welshWritten"

Note: Only applies to Welsh geographies. All English units recorded as -8 (N/A).

Reading Welsh language TS035: "welshReading"

Note: Only applies to Welsh geographies. All English units recorded as -8 (N/A).

Reading Welsh language TS036: "welshUnderstanding"

Note: Only applies to Welsh geographies. All English units recorded as -8 (N/A).

National identity TS027: "nationalIdentity"

Detailed national identity TS028: "nationalIdentityDetailed"

Note: Not available at more detailed geographies than MSOA in order to protect individual privacy.

Religion TS030: "religion"

Detailed religion TS031: "religionDetailed"

Note: Not available at constituency level or more detailed geographies than MSOA in order to protect individual privacy.

Religious diversity TS075: "religiousDiversity"

A1.4 Housing Variables

Accommodation type TS044: "accommodation"

Car or van availability TS045: "vehicle"

The number of cars or vans available to members of a household.

Central heating TS046: "heating"

Primary source of central heating in occupied households.

Communal establishment residents by age and sex TS047: "ageSexCommunal"

Note: Not available at more detailed geographies than MSOA in order to protect individual privacy.

Communal establishment management and type TS048 : "communalType"

Note: Includes parliamentary constituencies but not available at more detailed geographies than MSOA in order to protect individual privacy.

Number of bedrooms TS050: "bedrooms"

All household spaces with at least one resident classified by the number of bedrooms. Categories are 1-3 for bedroom count, 4 for 4 or more bedrooms and -9 for N/A.

Occupancy rating for bedrooms TS052: "bedroomOccupancy"

Number of rooms TS051: "rooms"

All household spaces with at least one resident classified by the number of rooms. Categories are 1-8 for room count, 9 for 9 or more rooms.

Occupancy rating for rooms TS053: "roomOccupancy"

Tenure TS054: "tenure"

Second address indicator TS056: "secondAddress"

Second address purpose TS055: "secondAddressPurpose"

A1.5 Health and Disability Variables

General Health TS037: "health"

Usual residents classified by state of general health.

General Health TS037ASP: "healthASP"

Health is strongly age-related, so 'age standardised proportions' of usual residents classified by state of general health allows other health patterns to be examined. value results are percentages in each health category, not counts.

Note: Not available at more detailed geographies than LA for reliability reasons.

General Health TS038: "disability"

Usual residents classified by long-term health problems or disability.

Disability TS038ASP: "disabilityASP"

Long term health problems and disability is strongly age-related, so 'age standardised proportions' of usual residents classified by long-term health problems or disability allows other patterns relating to disability to be examined. value results are percentages in each category, not counts.

Note: Not available at more detailed geographies than LA for reliability reasons.

Number of Disabled People in Household TS040: "disabilityHousehold"

Unpaid Care TS039: "care"

Usual residents aged 5 years and over classified by the number of hours of unpaid care they provide.

Unpaid Care TS039ASP: "careASP"

Upaid care is strongly age-related, so 'age standardised proportions' of usual residents over 5 classified by number of hours of unpaid care allows other patterns relating to unpaid care to be examined. value results are percentages in each category, not counts.

Note: Not available at more detailed geographies than LA for reliability reasons.

A1.6 Migration Variables

Age on arrival to UK TS018: "ageArrival"

Country of birth (detailed) TS012: "countryOfBirth"

Note: Not available at more detailed geographies than LA in order to protect individual privacy.

Region of Birth TS004: "regionOfBirth"

Length of residence TS016: "residenceLength"

Migration Indicator TS019: "migration"

Passport Country TS013: "passportCountry"

Country listed in passport. If multiple passports held, a single country is given in the following priority order: UK, Ireland, other.

Note: Not available at more detailed geographies than MSOA in order to protect individual privacy.

Passport Region TS005: "passportRegion"

As for 'Passport Country' but using a less granular categorisation.

Arrival in UK TS015: "arrival"

Year of arrival in the UK.

Short-term non-UK residents TS020: "shortTerm"

Number of short term non-UK residents classified by sex.

A1.7 Labour Market Variables

Hours worked per week TS059: "hoursWorked"

Number of hours worked per week by usual residents aged 16 years and over in employment the week before the census date.

Economic activity status TS066: "econActivity"

Employment history TS065: "employmentHistory"

Employment history of usual residents 16 or over not in employment 21st March 2021.

Industry TS060: "industry"

Industry of employment by usual residents aged 16 years and over in employment the week before the census date.

Note: Not available at more detailed geographies than MSOA in order to protect individual privacy.

Socio-economic classification TS062: "socioEcon"

National Statistics Socio-economic Classification (NS-SEC) of usual residents aged 16 or over.

Occupation TS063: "occupation"

Broad occupation category of usual residents aged 16 years and over in employment the week before the census date.

Occupation, detailed groups TS064: "occupationDetailed"

Detailed occupation category of usual residents aged 16 years and over in employment the week before the census date.

Note: Not available at more detailed geographies than MSOA in order to protect individual privacy.

A1.8 Sexual Orientation and Identity Variables

Gender identity TS070: "gender"

Gender identity of usual residents aged 16 years and over in England and Wales.

Note: Not available at more detailed geographies than LA in order to protect individual privacy.

Gender identity (general) TS078: "genderGeneral"

Gender identity of usual residents aged 16 years and over in England and Wales. Unlike TS070, this does not include a non-binary classification.

Note: Not available at ward level or more detailed geographies than MSOA (no wards) in order to protect individual privacy.

Sexual Orientation TS079: "sexualOrientation"

Sexual orientation of usual residents aged 16 years and over in England and Wales. Uses these corrected pansexual calculations (see here for details of the correction).

Note: Not available at more detailed geographies than LA in order to protect individual privacy.

Sexual Orientation (general) TS077: "sexualOrientationGeneral"

Sexual orientation of usual residents aged 16 years and over in England and Wales.

Note: Not available at more detailed geographies than MSOA (no wards) in order to protect individual privacy.

A1.9 Travel Variables

Distance travelled to work TS058: "workDistance"

Distance travelled to work by usual residents aged 16 years and over in employment the week before the census date.

Method used to travel to work TS061: "workTravelMode"

Main travel mode to work by usual residents aged 16 years and over in employment the week before the census date.

A1.10 Armed Forces Variables

Previously served in the UK armed forces TS071: "forcesServed"

Usual residents in England and Wales by whether or not they have previously served in the UK armed forces.

Note: Not available at more detailed geographies than MSOA/ward in order to protect individual privacy.

Number served in the UK armed forces TS072: "numberServed"

Households in England and Wales classified by the number of people in the household who have previously served in the UK armed forces.

Note: Not available at more detailed geographies than MSOA/ward in order to protect individual privacy.

Living arrangements of UK armed forces TS073: "forcesLiving"

Usual residents in England and Wales who have previously served in the UK armed forces classified by whether they reside in communal establishments or in households.

Note: Not available at more detailed geographies than MSOA in order to protect individual privacy.

Previously served in armed forces, household reference person TS074: "forcesServedReference"

Whether or not the Household Reference Person has previously served in the UK armed forces.

Note: Not available at more detailed geographies than MSOA in order to protect individual privacy.

A.2 Database Setup

Apart from the geo and pop database tables, new tables are loaded on demand via the GUI.

censusDb = DuckDBClient {}

headings = Array(10) ["------------ Demography", "------------ Education", "------------ Ethnicity, language & religion", "------------ Housing", "------------ Health and Disability", "------------ Migration", "------------ Labour market", "------------ Sexual orientation & identity", "------------ Travel", "------------ Armed forces"]

attList = Array(87) ["------------ Demography", "pop", "popDensity", "age", "ageSex", "households", "householdSize", "householdComposition", "communal", "deprivation", "living", "partnership", "sex", "------------ Education", "qualification", "students", "------------ Ethnicity, language & religion", "ethnicGroup", "ethnicGroupDetailed", "ethnicDiversity", …]

addTable = async ƒ(db, tblName)

activeTables = Array(4) ["categoryLabels", "geo", "pop", "popDensity"]

A.3 Utility Functions

Download the topojson boundary files for the given geography (one of "countries", "regions", "constituencies", "wards","las", "msoas" or "lsoas"). Can optionally provide an array of ONS codes for filtering features which can be useful for showing only selected map features.

downloadBoundaries = ƒ(geogName, permittedCodes)

Find the category name for any given table and category code. This returns the 'shortDesc' value in the tables shown in Appendix 2.

catName = ƒ(tblName, cat)

catLookup = Map(1908) {"age_0" => Object, "age_1" => Object, "age_2" => Object, "age_3" => Object, "age_4" => Object, "age_5" => Object, "age_6" => Object, "age_7" => Object, "age_8" => Object, "age_9" => Object, "age_10" => Object, "age_11" => Object, "age_12" => Object, "age_13" => Object, "age_14" => Object, "age_15" => Object, "age_16" => Object, "age_17" => Object, "age_18" => Object, "age_19" => Object, …}

Save the given database query result (collection of rows) as a CSV file

saveAsCSV = ƒ(…)

A4. Imports

For example mapping:

import { Renderer} from "@jwolondon/renderer"

A5. Workflow

Here is the workflow I used to generate the data for this page. If you need to add additional census data, you can fork this page and follow the workflow. The process below describes storing all available geographies, but you may only need to download selected geographies depending on need).

• Choose the variable from the ONS Census pages and download the relevant table for each available geography (or selected geography according to need). Either download as .xlsx files or if CSV open in Excel in the next step.

• Combine the files from the previous step adding a new column called geography in which values should be one of Country, Region, Constituency, LA, Ward, MSOA, LSOA or OA depending on which geography the row comes from. Delete the column containing area names as these are already stored in the geo table and can be retrieved using the area code as a key. Rename the first column containing the area code to be code; rename the one containing the variable categories to be category and the column containing the actual counts/measurements to be value. This should generate a single CSV file representing a table in a form similar to the following:

• Delete any other columns such as additional category labels. Save the combined file in CSV format.

• To be able to select the table from this page, convert the CSV file to the more compact .parquet format and store it either as local file attachment, or place it on a server for remote loading.

• Add the table to attList in Appendix A2 so it can be selected via the GUI.

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

51,490 rows

Insert cell

Insert cell

Insert cell

1,908 rows

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

customDownload

22 rows

censusDb

SELECT geo.code,geo.label,pop.valueAS population

FROM geo,pop

WHERE geo.geography='LA'AND country='W92000004'AND geo.code=pop.code

ORDERBY population DESC

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Insert cell

Fork

View

Export

Listed in...

Census 2021\ \ Jo Wood utilities\ \ Jo Wood

Edit

Pin

Add comment

Select

Duplicate

Copy link

Embed

Delete

Edit

Pin

Add comment

Select

Duplicate

Copy link

Embed

Delete

Edit

Pin

Add comment

Select

Duplicate

Copy link

Embed

Delete

Edit

Pin

Add comment

Select

Duplicate

Copy link

Embed

Delete

Edit

Pin

Add comment

Select

Duplicate

Copy link

Embed

Delete

Edit

Pin

Add comment

Select

Duplicate

Copy link

Embed

Delete

Edit

Pin

Add comment

Select

Duplicate

Copy link

Embed

Delete

Edit

Pin

Add comment

Select

Duplicate

Copy link

Embed

Delete

Edit

Pin

Add comment

Select

Duplicate

Copy link

Embed

Delete

Edit

Pin

Add comment

Select

Duplicate

Copy link

Embed

Delete

Edit

Pin

Add comment

Select

Duplicate

Copy link

Embed

Delete

Edit

Pin

Add comment

Select

Duplicate

Copy link

Embed

Delete

Edit

Pin

Add comment

Select

Duplicate

Copy link

Embed

Delete

geogSel

Edit

Pin

Add comment

Copy import

Select

Duplicate

Copy link

Embed

Delete

variableSel

Edit

Pin

Add comment

Copy import

Select

Duplicate

Copy link

Embed

Delete

extraSel

Edit

Pin

Add comment

Copy import

Select

Duplicate

Copy link

Embed

Delete

tableShape

Edit

Pin

Add comment

Copy import

Select

Duplicate

Copy link

Embed

Delete

Edit

Pin

Add comment

Select

Duplicate

Copy link

Embed

Delete

Edit

Pin

Add comment

Select

Duplicate

Copy link

Embed

Delete

Edit

Pin

Add comment

Select

Duplicate

Copy link

Embed

Delete

Edit

Pin

Add comment

Select

Duplicate

Copy link

Embed

Delete

customDownload

Unpin

Add comment

Copy import

Select

Duplicate

Copy link

Embed

Delete

Cells

censusDb

File attachments

Databases

Edit

Pin

Add comment

Select

Duplicate

Copy link

Embed

Delete

Edit

Pin

Add comment

Select

Duplicate

Copy link

Embed

Delete

Edit

Pin

Add comment

Select

Duplicate

Copy link

Embed

Delete

Edit

Pin

Add comment

Select

Duplicate

Copy link

Embed

Delete

Edit

Pin

Add comment

Select

Duplicate

Copy link

Embed

Delete

Edit

Pin

Add comment

Select

Duplicate

Copy link

Embed

Delete

Edit

Pin

Add comment

Select

Duplicate

Copy link

Embed

Delete

TS006

Edit

Pin

Add comment

Copy import

Select

Duplicate

Copy link

Embed

Delete

TS007

Edit

Pin

Add comment

Copy import

Select

Duplicate

Copy link

Embed

Delete

TS009

Edit

Pin

Add comment

Copy import

Select

Duplicate

Copy link

Embed

Delete

TS041

Edit

Pin

Add comment

Copy import

Select

Duplicate

Copy link

Embed

Delete

TS017

Edit

Pin

Add comment

Copy import

Select

Duplicate

Copy link

Embed

Delete

TS003

Edit

Pin

Add comment

Copy import

Select

Duplicate

Copy link

Embed

Delete

TS001

Edit

Pin

Add comment

Copy import

Select

Duplicate

Copy link

Embed

Delete

TS011

Edit

Pin

Add comment

Copy import

Select

Duplicate

Copy link

Embed

Delete

TS010

Edit

Pin

Add comment

Copy import

Select

Duplicate

Copy link

Embed

Delete

TS002

Edit

Pin

Add comment

Copy import

Select

Duplicate

Copy link

Embed

Delete

TS008

Edit

Pin

Add comment

Copy import

Select

Duplicate

Copy link

Embed

Delete

Edit

Pin

Add comment

Select

Duplicate

Copy link

Embed

Delete

TS067

Edit

Pin

Add comment

Copy import

Select

Duplicate

Copy link

Embed

Delete

TS068

Edit

Pin

Add comment

Copy import

Select

Duplicate

Copy link

Embed

Delete

Edit

Pin

Add comment

Select

Duplicate

Copy link

Embed

Delete

TS021

Edit

Pin

Add comment

Copy import

Select

Duplicate

Copy link

Embed

Delete

TS022

Edit

Pin

Add comment

Copy import

Select

Duplicate

Copy link

Embed

Delete

TS023

Edit

Pin

Add comment

Copy import

Select

Duplicate

Copy link

Embed

Delete

TS024

Edit

Pin

Add comment

Copy import

Select

Duplicate

Copy link

Embed

Delete

TS025

Edit

Pin

Add comment

Copy import

Select

Duplicate

Copy link

Embed

Delete

TS026

Edit

Pin

Add comment

Copy import

Select

Duplicate

Copy link

Embed

Delete

TS029

Edit

Pin

Add comment

Copy import

Select

Duplicate

Copy link

Embed

Delete

TS032

Edit

Pin

Add comment

Copy import

Select

Duplicate

Copy link

Embed

Delete

TS033

Edit

Pin

Add comment

Copy import

Select

Duplicate

Copy link

Embed

Delete

TS076

Edit

Pin

Add comment

Copy import

Select

Duplicate

Copy link

Embed

Delete

TS034

Edit

Pin

Add comment

Copy import

Select

Duplicate

Copy link

Embed

Delete

TS035

Edit

Pin

Add comment

Copy import

Select

Duplicate

Copy link

Embed

Delete

TS036

Edit

Pin

Add comment

Copy import

Select

Duplicate

Copy link

Embed

Delete

TS027

Edit

Pin

Add comment

Copy import

Select

Duplicate

Copy link

Embed

Delete

TS028

Edit

Pin

Add comment

Copy import

Select

Duplicate

Copy link

Embed

Delete

TS030

Edit

Pin

Add comment

Copy import

Select

Duplicate

Copy link

Embed

Delete

TS031

Edit

Pin

Add comment

Copy import

Select

Duplicate

Copy link

Embed

Delete

TS075

Edit

Pin

Add comment

Copy import

Select

Duplicate

Copy link

Embed

Delete

Edit

Pin

Add comment

Select

Duplicate

Copy link

Embed

Delete

TS044

Edit

Pin

Add comment

Copy import

Select

Duplicate

Copy link

Embed

Delete