AndreaBozzo/ceres-open-data-index huggingface dataset:
Camden Business Survey Report 2017

The Camden Business Survey 2017 gathered key business intelligence around business confidence, activity and employment, and issues of importance. Previous surveys were conducted in 2014 and 2012. The analysis is based on a sample of 400 responses from businesses, stratified by size and sector. Where significant, findings are reported by size, sector, business age and business type. Camden’s growth sectors are considered throughout: Science and Tech, Technical, Professional and Business Support Services, and Creative and Cultural Industries.

Tags: apprenticeships growth sectors, brexit, business, business activity, business priorities, csr, economic development, economy, employment, skills
Organization: London Borough of Camden
Camden Sport And Physical Activity Needs Assessment 2009

The aim of the study was to provide a clear understanding of the extent of current provision and identify interventions that would increase participation amongst local residents. 

The needs assessment covered the Borough as a whole but had a particular focus on the wards of Kentish Town, Kilburn, Kings Cross and St Pancras and Somers Town. Residents living in these wards suffer the worst life expectancy and are amongst those with the lowest levels of regular participation in sport and physical activity. 

4 Key areas explored as part of the study included: 

• relevant policy, research and guidelines at a local, regional and national level 
• demographic, health and participation profile of the local population 
• barriers to participation 
• current service provision and future needs 
• adequacy of current indoor and outdoor facility provision

Tags: activity, adult, bme, health, leisure, physical
Organization: London Borough of Camden
2021 Census Topic Summary Labour Market & Travel To Work

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'.

Tags: 2021 census, employment, industry, labour market, ns-sec, occupation, residents, travel to work
Organization: London Borough of Camden
Camden Neighbourhood Profile - Somers Towns

The neighbourhood profiles are 22 data profiles that, collectively, cover the whole borough of Camden. The profiles contain comprehensive, verifiable and up-to-date statistics from a variety of sources about the community characteristics, assets and strengths, challenges and needs in each neighbourhood. They are designed to help the Council, other statutory partners and the VCS understand what is being delivered in small areas and the resources that already exist in each area, and identify any gaps.

The neighbourhoods are composites of lower super output areas (LSOAs), which are smaller than wards. The neighbourhoods do not conform to administrative boundaries or electoral wards. Their borders are instead based on the actual way that residents identify with particular areas and how they really move about within certain localities.

Tags: statistics
Organization: London Borough of Camden
Special Educational Needs & Disability Needs Analysis (Jul-10)

A detailed analysis of children with learning difficulties and/or disabilities of children resident in Camden or children attending Camden schools. It sets out the key characteristics including the full range of special educational needs and a disability (SEND) presented in Camden, the services currently being accessed and, by using local and national trends, sets some initial projections of future need.

Tags: disability, needs analysis, profile, sen, send, special educational needs
Organization: London Borough of Camden
Communication and Participation slides

Unequal impact of COVID-19: BAME disproportionality
Addressing the disproportionate impact of the pandemic is a shared endeavour and we want our residents, particularly our Black, Asian, and minority ethnic residents, to play an active role in our response. 

This slide pack shows that we will support them to do so by:
•	Using cross-channel communications tactics and reaching out to all Camden residents to make sure everyone is informed and given the opportunity to engage;
•	Encouraging residents to share their lived experience of Covid-19 and help us garner the evidence we need to take action;
•	Encouraging residents to work with us and our partners to shape and deliver the actions in our plan and act as a critical friend to make sure we stay true to our objectives and deliver the change we are promising.

Tags: covid-19, disproportionality, impact
Organization: London Borough of Camden
Camden Neighbourhood Profile - Euston

The neighbourhood profiles are 22 data profiles that, collectively, cover the whole borough of Camden. The profiles contain comprehensive, verifiable and up-to-date statistics from a variety of sources about the community characteristics, assets and strengths, challenges and needs in each neighbourhood. They are designed to help the Council, other statutory partners and the VCS understand what is being delivered in small areas and the resources that already exist in each area, and identify any gaps.

The neighbourhoods are composites of lower super output areas (LSOAs), which are smaller than wards. The neighbourhoods do not conform to administrative boundaries or electoral wards. Their borders are instead based on the actual way that residents identify with particular areas and how they really move about within certain localities.

Tags: statistics
Organization: London Borough of Camden
2021 Census Topic Summary Sexual Orientation & Gender ID

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.

Tags: 2021 census, gender identity, sexual orientation
Organization: London Borough of Camden
Lived Experience slides

Unequal impact of COVID-19: BAME disproportionality
This presentation includes some national data on health experiences of the BAME population, 2011 Census data on the ethnic make-up of Camden residents and ONS data on mortality rate by ethnicity as a result of Covid-19. 
It then deep dives into what our VCS organisations have heard first hand from our Black, Asian and other non-white ethnicity communities. 

This helps us to understand how the government measures have exacerbated the effects of COVID-19, and how they will continue to disproportionately affect people. (Data collated through conversations with our VCS partners).

Tags: covid-19, disproportionality, impact
Organization: London Borough of Camden
Camden Population Segmentation by Ward, 2012

This forms part of Camden’s Joint Strategic Needs Assessment, focussing on the demographics of our population. This data shows breakdowns of Camden’s population by health conditions, age and sex, and by Camden ward, as supplementary information of the 2015 Camden population segmentation profile (https://opendata.camden.gov.uk/Health/Camden-Demographics-Population-Segmentation-2015/v6fr-wght). It provides the number of people, percentage of the whole population (prevalence) and Camden average for each breakdown. It only focuses on the population aged 18 and over and doesn’t show breakdowns for those diagnosed with learning disability or those aged under 65 who are diagnosed with dementia due to small numbers.

Tags: camden ward, demographics, jsna, ltcs, population segmentation
Organization: London Borough of Camden
Camden Neighbourhood Profile - Dartmouth Park

The neighbourhood profiles are 22 data profiles that, collectively, cover the whole borough of Camden. The profiles contain comprehensive, verifiable and up-to-date statistics from a variety of sources about the community characteristics, assets and strengths, challenges and needs in each neighbourhood. They are designed to help the Council, other statutory partners and the VCS understand what is being delivered in small areas and the resources that already exist in each area, and identify any gaps.

The neighbourhoods are composites of lower super output areas (LSOAs), which are smaller than wards. The neighbourhoods do not conform to administrative boundaries or electoral wards. Their borders are instead based on the actual way that residents identify with particular areas and how they really move about within certain localities.

Tags: statistics
Organization: London Borough of Camden
Parking Services Penalty Charge Notices 2018-19

This dataset contains transactional penalty charge notice data held in the London Borough of Camden's parking management system; inclusive of penalty charge notices issued by Civil Enforcement Officers on street and those issued by Civil Enforcement Officers via CCTV. Attribution includes contravention code, ticket type, street, parking restriction, vehicle category and status of case.

Where possible, the approximate location of the PCN has been captured. The 'Spatial Accuracy' column can be used to determine what level of location has been captured:

Civil Enforcement Officer GPS Location = the GPS location reported by the CEO's handheld device 
Fixed CCTV Camera = the location of the CCTV camera, this could be many metres from the vehicle in contravention 
Unknown = No location has been captured

Tags: contravention, parking, parking ticket, pcn
Organization: London Borough of Camden
Camden Neighbourhood Profile - Parliament Hill & Heath

The neighbourhood profiles are 22 data profiles that, collectively, cover the whole borough of Camden. The profiles contain comprehensive, verifiable and up-to-date statistics from a variety of sources about the community characteristics, assets and strengths, challenges and needs in each neighbourhood. They are designed to help the Council, other statutory partners and the VCS understand what is being delivered in small areas and the resources that already exist in each area, and identify any gaps.

The neighbourhoods are composites of lower super output areas (LSOAs), which are smaller than wards. The neighbourhoods do not conform to administrative boundaries or electoral wards. Their borders are instead based on the actual way that residents identify with particular areas and how they really move about within certain localities.

Tags: statistics
Organization: London Borough of Camden
TWBC SFRA Appendices

Appendices from the Strategic Flood Risk Assessment (SFRA) Levels 1 &amp; 2. Click on the Download button on this page to download the PDFs. It may take some time so please be patient. <br /><br /><div><br /></div><div>Created August 2019 by Planning Services. For further details please contact Tunbridge Wells Borough Council</div>

Tags: Open Data, Planning, Planning Policy, SFRA, Tunbridge Wells Borough Council
Organization: Tunbridge Wells Borough Council
2011 Census DC Tables 6. Labour Market

2011 Census cross-tabulations from within the LABOUR MARKET  topic. Tables provided for Camden, Greater London and England & Wales. Includes National Statistics Socio-economic Classification (NS-SEC), Economic Activity, Industry, Occupation, Former Occupation, Hours Worked, industry, Former Industry, Last Year Worked, Approximated Social Grade, Home Worker. THIS IS A ZIP file. Download to your computer, unzip (extract) the Excel files contained in order to access the Index file.

Tags: 2011 census, approximated social grade, economic activity, former industry, former occupation, home worker, hours worked, industry, last year worked, national statistics socio-economic classification, ns-sec, occupation, people
Organization: London Borough of Camden
Camden Social Capital Survey 2008 Final Report

Social capital can be defined as the shared norms and co-operative relationships that help us to get along together as a society. It is the social glue that enables us as individuals to cooperate and act collectively. While definitions of social 
capital vary, it can be broken down into a number of different components, including citizenship, neighbourliness, trust and shared values, community involvement, volunteering, social networks and civic participation. 
In March 2008, the London Borough of Camden commissioned Ipsos MORI to run a survey amongst Camden residents to establish levels of social capital in the borough, to check whether these have improved over recent years, and to start to 
explain some of the changes that have occurred.

Tags: camden, community, engagement consultation survey, london, neighbourhood, residents, satisfaction, social, society
Organization: London Borough of Camden
2011 Census Profiles Primary planning Areas

2011 Census Key Statistics Profiles (and map) for each of the 5 Camden primary school planning areas, plus a comparable profile for Camden. The profiles provide a snapshot across the demographic data from the national census, giving background to the differing characteristics of the 5 primary school planning areas. 
*** Note. the file is a zipped Excel file and to use will have to be unzipped first ***

Tags: 2011 census, accommodation, demography, households, primary planning areas, residents
Organization: London Borough of Camden
Adult Social Care - Appendix 1

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).

Tags: covid-19, disproportionality, impact
Organization: London Borough of Camden
2011 Census KS And QS Tables - Camden, LAs And Above

This is a complete set of 2011 Census Key Statistics (KS) and Quick Statistics (QS) tables for Camden and local authorities and higher geographies. THIS IS A ZIP file that needs to be downloaded and Excel files extracted. Once extracted open the index file.

Tags: 2011 census, camden, countries, key statistis, local authoirities, quick statistics, regions
Organization: London Borough of Camden
Adult Social Care slides

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.

Tags: covid-19, disproportionality, impact
Organization: London Borough of Camden
Ward Profile Jan-2020 Frognal and Fitzjohns ward

This updated profile incorporate the most recent ward data available from population forecasts, from surveys and from administrative data to give the best current view of the local population. They include current population and forecast changes; household income levels and deprivation; local workplace employment levels; levels of welfare claimants and unemployment benefit recipients; life expectancy and crime.

Tags: ward profile
Organization: London Borough of Camden
FCA: Improving the Appointed Representatives regime through greater use of data

This publication includes data from the FCA's 2021 and 2022 data requests sent to principal firms and authorisation information collected from firms. It also outlines how the FCA is improving the Appointed Representatives’ regime (AR regime) and what it expects from firms. 

As part of the FCA's rules, principals must now give more information about their ARs. This information drives the FCA's strategy and approach.

Organization: Financial Conduct Authority (FCA)
Standard Area Measurements (2018) for National Parks in Great Britain

<font color='#000000' style='font-family: &quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size: 16px;'><span style='font-family: inherit; line-height: 26.35px;'>This zip file contains the Standard Area Measurements (SAM) for the National Parks in Great Britain as at 31 December 2018 in CSV and XLSX format. </span><span style='font-family: inherit; line-height: 26.35px;'>All measurements provided are ‘flat’ as they do not take into account variations in relief e.g. mountains and valleys. Measurements are given in hectares (10,000 square metres) to 2 decimal places. Four types of measurements are included: total extent (AREAEHECT), area to mean high water (coastline) (AREACHECT), area of inland water (AREAIHECT) and area to mean high water excluding area of inland water (land area) (AREALHECT). The Eurostat-recommended approach is to use the ‘land area’ measurement to compile population density figures.</span></font><div style='font-family: &quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size: 16px; line-height: 26.35px;'><font color='#000000' size='3' style='font-family: inherit;'><br /></font></div><div style='font-family: &quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size: 16px; line-height: 26.35px;'><font color='#000000' size='3' style='font-family: inherit;'>Click the Download button to download the file (404 KB)</font></div>

Tags: 2018, Great Britain, NPARK, National Parks, Other Products, PRD_SAM, PRD_SAM_NPARK, SAM, Standard Area Measurement, Standard Area Measurements, ZIP File
Organization: Office for National Statistics
ONS UPRN Directory User Guide (April 2022)

<p></p><p><span style='font-size:13.0pt; font-family:&quot;Helvetica&quot;,sans-serif; color:#4C4C4C; background:white;'>This User Guide contains information about the
ONSUD including: directory content; data currency; the
methodology for assigning areas to postcodes; data formats; data
quality and limitations and details of recent changes that have impacted on the
data. Various annexes and tables provide more detailed supporting information. The
download includes PDF and ODT versions of the user guide. (File size - 291 KB)</span></p>

Tags: 2022, APR_2022, DOC_ONSUD_UG, Documents, GB, Great Britain, ONS Address Directory, ONS UPRN Directory, ONSAD, ONSUD, PRD_ONSUD_UG, UPRN, User Guide, ZIP File
Organization: Office for National Statistics
Postcode to Output Area to Lower Layer Super Output Area to Middle Layer Super Output Area to Local Authority District (August 2021) Lookup in the UK

<span style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, Helvetica, Arial, sans-serif; font-size:17px;'>A best-fit lookup between postcodes, frozen  2011 Census Output Areas (OA), Lower Layer Super Output Areas (LSOA), Middle Layer Super Output Areas (MSOA) and current local authority districts (LAD) as at</span><span style='font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, Helvetica, Arial, sans-serif; font-size:17px;'> August 2021 in the UK. Postcodes are best-fitted by plotting the location of the postcode's mean address into the areas of the output geographies. (File size 24 MB).</span><div style='font-size:17px; font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, Helvetica, Arial, sans-serif !important;'><font style='font-family:inherit;'>Field Names - PCD7, PCD8, PCDS, DOINTR, DOTERM, USERTYPE, OA11CD, LSOA11CD, MSOA11CD, LADCD, LSOA11NM, MSOA11NM, LADNM, LADNMW</font></div><div style='font-size:17px; font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, Helvetica, Arial, sans-serif !important;'><font style='font-family:inherit;'>Field Types - All Text</font></div><div style='font-size:17px; font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, Helvetica, Arial, sans-serif !important;'><font style='font-family:inherit;'>Field Lengths - 7, 8, 8, 8, 8, 1, 9, 9, 9, 9, 55, 65, 45, 45</font></div>

Tags: 2021, AUG_2021, LAD, LSOA, LUP_PCD, LUP_PCD_OA_LSOA_MSOA_LAD, Local Authority District, Local Authority Districts, Lookups, Lower Layer Super Output Area, Lower Layer Super Output Areas, MSOA, Middle Layer Super Output Area, Middle Layer Super Output Areas, OA, Output Area, Output Areas, PCD, PCD_OA_LSOA_MSOA_LAD, Postcode, Postcode Lookups, Postcodes, UK, ZIP File
Organization: Office for National Statistics