2021 Census Topic Summary Labour Market & Travel To Work

4th tranche of 2021 Census 'Topic Summary' tables: Labour Market & Travel to Work. These are a set of univariate tables for the topic that provide data for Camden and sub areas (where available) and provide comparator data for London boroughs, Greater London and England & Wales.
Cautionary note. 2021 Census took place during COVID-19 restrictions and some people usually resident in Camden were living elsewhere at the time and are not included in the statistics. This particularly affects the labour market and travel to work statistics as many people were working from home, or not able to work. ONS advises to 'take care when using these statistics for planning purposes'.

6th tranche of 2021 Census 'Topic Summary' tables: Sexual Orientation & Gender Identity. These are a set of univariate tables for the topic that provide date for Camden and sub areas (where available) and provide comparator data for London boroughs, Greater London and England & Wales.
Cautionary note. 2021 Census took place during COVID-19 restrictions and some people usually resident in Camden were living elsewhere at the time and are not included in the statistics.

2021 Census Ward profiles based on 'Topic Summary' outputs.
The data is from ONS/NOMIS calculated 'best fit' of ward data.
The data relates to Camden's wards that came4 into effect in 2022.

This dataset contains the parking bays location in the London Borough of Camden. A parking bay consists of a number of parking spaces, therefore individual parking spaces cannot be identified in this dataset, however the attribution includes the approximate length of the parking bay in metres, and the approximate number of spaces in the parking bay. Other attribution includes restriction type, times of operation, maximum stay, tariff, road name and CPZ (Controlled Parking Zone). The Easting and Northing (and Longitude and Latitude) attributes are automatically calculated based on an arbitrary node along the polyline geometry of the parking bay; the WKT (Well Known Text) attributes can be used to redraw the full extent of each parking bay using a GIS (Geographic Information System).

This dataset contains the location of Camden Council's reception points.

This dataset contains planning applications in the London Borough of Camden dating back to 01/01/2010. Planning application extents are captured against the OS MasterMap product, due to licensing restrictions with this product, this dataset is represented as point geometry, located to the nearest postcode (derived from the OS Code-Point Open product). Attribution includes application number, development address, development description, registered date, decision date and case officer.

A list of successful and unsuccessful nominations, current and former listings.

A profile looking at the prevalence of overweight and obesity in Camden's population.

Unequal impact of COVID-19: BAME disproportionality
The shielded population are those that have been defined by Government on medical grounds as medically vulnerable due to a clinical condition that puts them at High risk of developing complications from COVID-19 infection.

Those recommended to shield include:
• Organ transplant recipients
• Pregnant women with congenital heart conditions
• Those with rare diseases such as homozygous sickle cell, SCID and others
• Those on immunosuppression therapies
• People with specific cancers or those with cancer undergoing chemo/radiotherapy.

Camden has so far received the contact details of almost 8,000 residents identified by central Government, with more records likely in future.

The details received do not contain the personal characteristics of those on the list, although we have received an overview from North Central London NHS.
(note: above is broken down into shielder’s location and BAME ward profile, shielding population by ethnicity, shielded food need and dietary requirements).

Unequal impact of COVID-19: BAME disproportionality
Section 1 (slides 1 – 3): The Public Health England (PHE) review confirms the risk of mortality as a result of covid-19 by ethnicity. Data on access to care and emergency response has been taken from our local VCS partner feedback and indications from local data.) Data on the care workforce by ethnicity was taken from our local data and the
Section 2 (Slides 4 – 7) covers demographic information on Black, Asian, and other or mixed ethnic people delivering direct care in the wider social care sector from the Skills for Care 2019 Social Care Workforce Review (note: factors that need to be considered are age, sex, underlying health conditions, ethnicity, and pregnancy.) Information on Camden’s ASC workforce was taken from GLA 2016-based Ethnic Group Projections - mid-2020). Demographic information on people receiving ASC support in Camden has been taken from our local service data.
Section 3: (slides 8-15) sets out information on Adult Social Care activity during Covid-19 and looks at data relative to ethnicity including the ASC cohort of Camden’s shielded residents. (Service held data NOT official statistics including qualitative feedback from communities)
Section 4: (Slides 16 – 18) shows information related to the Adult Social Care outcomes framework which has provided some information gathered before Covid-19 on the experiences of people who are BAME and in receipt of social care support in Camden.