My Datasets
Here is a list of all my datasets for easy access and sharing, they are all available in the following CKAN Instance
| Title | Description | Last updated | |
|---|---|---|---|
| Statistical data for Malmö's areas | This file contains statistics for a number of different variables divided by Malmö's different areas over time. Sources The statistics in this database are obtained, unless otherwise stated, from Statistics Sweden's (SCB) regional database, the Skåne database or from Statistics Sweden's area statistical database (OSDB). The Skåne database and OSDB show data from several different sources that Statistics Sweden has compiled at a geographical level. The statistics only cover people who are part of the registered population. People without a residence permit, e.g. asylum seekers, and people who have simply not registered in the municipality are therefore not included. Statistics Sweden does not keep statistics on which languages residents speak, which religion they belong to or which ethnicity or political opinions they have. Therefore, such data is not available here either. However, the electoral authority reports election results per constituency on its website val.se. There are statistics from the most recent election as well as several previous elections available. Please note, however, that the constituencies do not necessarily follow the division of the city that is made here. Update The data is updated each spring as Statistics Sweden releases the figures to the municipality. Most variables are available for the previous year. However, income and employment data are released with an additional one-year lag. The measurement date is, unless otherwise stated, December 31 of each year. Geographical division Unless otherwise stated, the data is available for Malmö as a whole and divided into urban areas (5 each), urban districts (10 each) and sub-areas (136 each). In addition to these, there is a residual item that contains people who are not registered at a specific location in the municipality, have a protected identity, etc. These people are also included in the total. In several of the sub-areas, there are no or only a few registered residents. Therefore, no data is reported for these areas. Examples of such sub-areas are parks such as Pildammsparken and Kroksbäcksparken and industrial areas such as Fosieby Industriområde and Spillepengen. Privacy clearance To protect the identity of individuals, the data is privacy-checked. This means that small values are suppressed, i.e. replaced with empty cells. However, the values are included in summaries. In general, the following rules apply: • No statistics are reported for geographical areas with very few residents. • No cells with fewer than 5 individuals are reported. For data classified as sensitive (e.g. income and country of birth), even larger values can be suppressed. • In cases where a subcategory (e.g. an education category) is too small to be reported, all categories are often suppressed. Feel free to use the numbers, but cite “City Office, Malmö City” as the source. | April 27, 2026 at 1:32:26 PM | More info |
| Speed obstacles | Point layer showing speed bumps and narrowings in the street **Coordinate system** : ESPG 3008. **English** : Speed bumps. **Data contains** : **gid** : primary id. Created: Wed Jun 10 13:23:07 2020 | April 27, 2026 at 1:22:48 PM | More info |
| Recreational facilities | Recreational facilities | April 27, 2026 at 1:22:24 PM | More info |
| Subarea | Map layer showing sub-areas in Malmö Municipality. The sub-areas follow the boundaries of Key Code Areas IV numbers. The areas are mainly used for statistics. Polygon layer | April 27, 2026 at 1:21:53 PM | More info |
| Bicycle crossing | The layer shows where Malmö City's bicycle crossing is located. **Coordinate system:** ESPG 3008, SWEREF 991330. **English:** : Bicycle crossings. The data includes the following. **gid:** \- Primary key | April 27, 2026 at 1:21:37 PM | More info |
| Electoral district | Map layer showing electoral districts in the city of Malmö ahead of the 2022 election. The electoral districts are drawn up by population and are updated ahead of each election. | April 27, 2026 at 1:21:07 PM | More info |
| Traffic measurement for car traffic | **Car traffic flows in Malmö** The purpose of this report is to report current traffic volumes on Malmö's streets. At the same time, changes over time should be easily visible in the report. Data on traffic volumes has been collected by the City of Malmö since 1967. It is important to keep in mind that there are factors that can affect the measurement results when studying traffic flows (e.g. road works, relocation of local buses, major reconstructions, speed changes and the introduction of traffic calming measures). Traffic flows have also been affected by the COVID-19 pandemic, especially data from 2020. The report is an excerpt compiled from the Property and Street Office's traffic database in which measured traffic volumes have been continuously stored each year. **Attributes of measurement locations** * `pg_id [unik identifierare för varje mätplats]` * `pg_nummer [???]` * `gatunamn [gata där mätning genomförts]` * `delsträcka [position där mätningen genomförts]` * `rikt_1 [???]` * `rikt_2 [???]` * `senaste [???]` * `geometry [typ: MultiLineString, CRS: WGS84]` **Attribute metrics** * `pg_id [unik identifierare för varje mätplats]` * `year [mätår]` * `mvd [medelvardagsdygnstrafik¹]` * `max_fm [motorfordon/timme under förmiddagens maxtimme]` * `max_em [motorfordon/timme under eftermiddagens maxtimme]` * `andel_tung [motorfordon med vikt över 3,5 i procent av den totala trafiken²]` * `medelhast [medelhastighet för den totala trafiken²]` * `senaste [???]` ¹ Average traffic during weekdays during a given period of time for all motor vehicles in both directions. The average value is calculated based on measurements for Tuesday-Thursday, weekends and public holidays. ² Applies to traffic in both directions. | April 27, 2026 at 1:20:11 PM | More info |
| Daytime population (number of workplaces) according to SNI 2007, 2019 - 2021 - Statistical data for Malmö's areas | Shows in which industry the gainfully employed people working in the area work. The division follows the Standard for Swedish Industrial Classification (SNI) 2007. The categories O (unknown), A (agriculture, hunting and forestry), B (extraction of materials), D (supply of electricity, gas, heating and cooling), E (water supply, etc.), T (household production, etc.) and U (activity at international organizations) have been merged into the category "Other" due to the low number of people working in these industries. The variable also shows the total number of people working in the area. The variable is broken down by gender. It is shown for the population aged 16–74. It is based on statistics from SCB RAMS ("Register-based labour market statistics"). The statistics include all individuals between 16 and 74 who are registered in Sweden on 31 December. As of reference year 2019, a new data source and method are used to classify gainfully employed people in RAMS. There is therefore a time series break for this time series starting with data from 2019. A large number of workers within an area are required to be able to break down the group into the different SNI categories. The SNI categories can therefore only be reported for a few sub-areas. Starting with reference year 2019, Statistics Sweden uses a new data source and method to classify gainfully employed people in RAMS. The change in source and method means that comparisons of statistics for 2019 and previous reference years must be made with great caution. Read more at SCB.se **Variable description** You find it [here](https://malmo.se/download/18.366e2dfa19104f52772117f/1724223837404/Variabelbeskrivning,%20statistikunderlag%20f%C3%B6r%20Malm%C3%B6s%20omr%C3%A5den.pdf) ! **APIs** Using the API call _https://ckan%2dmalmo.dataplatform.se/api/3/action/resource_search?query=description:malm%C3%B6%20statistics,_ you can retrieve all data sets that contain statistical data for Malmö's areas in JSON format. In each instance of result/results in the JSON result, there is an "id" property for each resource. The value of "id" can be used to retrieve the data for the respective statistics variable (according to the value of the "name" property). API call to retrieve the statistics data: _https://ckan%2dmalmo.dataplatform.se/api/action/datastore_search?resource_id=[id value]_ Feel free to use the numbers, but cite “City Office, Malmö City” as the source. | April 27, 2026 at 1:19:49 PM | More info |
| Traffic meeting for bicycles | **Bicycle flows in Malmö** The purpose of this traffic volume compilation is to report current moped and bicycle traffic volumes in Malmö. At the same time, changes should be easily readable since data on traffic volumes is available from 1994 onwards. It is important to keep in mind that there are factors that can affect the measurement results when studying traffic data, especially when only one day is counted (e.g. road works, major reconstruction, weather). There is only one data point from 2020 due to the COVID-19 pandemic. Traffic flows from 2021 have also been shown to be affected by the pandemic. The report is an excerpt compiled from the Property and Street Office's traffic database in which measured traffic volumes have been continuously stored each year. **Attributes of measurement locations** * `pg_id [unik identifierare för varje mätplats]` * `pg_nummer [???]` * `gatunamn [gata där mätning genomförts]` * `delsträcka [position där mätningen genomförts]` * `sida [sida/sidor av gatan för vilka mätvärdena gäller¹]` * `senaste [???]` * `geometry [typ: MultiLineString, CRS: WGS84]` **Attribute metrics** * `pg_id [unik identifierare för varje mätplats]` * `year [mätår]` * `vardagsdygn [vardagsdygnstrafik²]` * `senaste [???]` ¹ For example, both sides or just the pedestrian/cycle path. ² Traffic counts are carried out during autumn and spring, on a Tuesday, Wednesday or Thursday between 06-09 and 15-18. The number of mopeds, scooters and bicycles is counted in both directions. Using a coefficient system, the values are converted to _Weekday Traffic_ , which means that the values contain a certain uncertainty. | April 27, 2026 at 1:19:27 PM | More info |
| CIVDEV-1601 | Malmö city's outdoor and indoor facilities for various sports and activities. ## Resource Leisure facilities **Attribute** facilityid ( _facility ID_ ) parent resource id ( _parent facility ID_ ) facility ( _facility name_ ) type ( _type of facility_ ) area ( _sub-area in Malmö city where the facility is located_ ) rental options ( _rental/booking options_ ) * "Short-term" - bookings with varying duration * "Long-term" - subscription-type bookings * "Not available" - not bookable description activities ( _activities that can be carried out on site_ ) address ( _street address_ ) postal code ( _zip code_ ) city latitude longitude ## Resource Opening Hours **Attribute** facilityId ( _facility ID_ ) start ( _time for opening_ ) end ( _time for closing_ ) weekday ( _Monday...Sunday_ ) ## Resource Deviating opening hours **Attribute** facilityid ( _Facility ID_ ) date ( _date that deviates from regular opening hours_ ) note ( _reason for deviation_ ) open ( _true/false = yes/no_ ) ## More information https://malmo.se/For%2dforeningar/Foreningsliv%2d%2d%2dIdrott%2doch%2dfritid/Boka%2danlaggning.html | April 27, 2026 at 1:19:00 PM | More info |
| Government of Canada Social Media Accounts | This dataset contains information about various social media accounts associated with different departments of the Government of Canada, including platforms and organizations involved. | April 26, 2026 at 5:35:44 AM | More info |
| Canadian federal Order in Council data | This dataset contains OrderS in Council issued by the Canadian government since 1990, detailing amendments to regulations, approvals of financial sums, and appointments to various boards and positions. Each entry is annotated with metadata including registration details and the pertinent government department or agency. | April 26, 2026 at 5:00:53 AM | More info |
| Art in DOE buildings | List of art, artist, medium and DOE building that the art is located in schools. | April 26, 2026 at 3:39:51 AM | More info |
| Parks Permit Areas | One line of data represents a single geographic area for which an event permit can be requested in the Citywide Event Management System (CEMS). Data was digitized in desktop GIS in consultation with borough permit offices. Data is updated when changes are requested by the borough permit offices. Along with this dataset, the Athetlic Facilities dataset are sent to CEMS. Spaces not outlined in this dataset are not available for permitting | April 26, 2026 at 3:29:54 AM | More info |
| Citywide Marketing Directory | Local Law 83 of 2021 establishes a goal for City agencies to spend at least 50% of their print, digital, radio and TV advertising budgets with Ethnic and Community Media (ECM) outlets. This is a directory of approved ethnic and community media outlets with which spend counts positively towards the 50% spend goal outlined in LL83 of 2021 | April 26, 2026 at 3:20:07 AM | More info |
| Public Design Commission Outdoor Public Art Inventory | Inventory of City owned public monument, memorials, artworks and markers installed outside on City-owned property. | April 26, 2026 at 2:31:16 AM | More info |
| NYC Parks Monuments | This data is table of monuments that is maintained by NYC Parks. Prior to being stored electronically the original data was stored on index cards dating back to the 1940s. The database is updated periodically to include new monuments, and information updated for existing monuments. For questions about the dataset please contact Parks’ Art & Antiquities division at (212) 360-8143. For the data dictionary, please follow https://docs.google.com/spreadsheets/d/1YPLkiqZnifXhp6lZftSHTpGYSJ5NkIl-nGfwJAdD3P0/edit?usp=sharing | April 26, 2026 at 1:48:45 AM | More info |
| Informe OGM | This dataset contains a resource titled 'Libro Informe WEB SPB'. The document is likely an informative report or publication based on the name indicated in the file path. | April 24, 2026 at 5:54:20 PM | More info |
| Addresses in USA | A collection of addresses across different states in the USA, including details such as street, city, state, and zip code. | April 24, 2026 at 12:38:17 PM | More info |
| test-istml0 | April 23, 2026 at 6:57:32 PM | More info | |
| 2020 Senegal EITI Report FR | April 23, 2026 at 1:14:15 PM | More info | |
| 2019 Senegal EITI Report FR | April 23, 2026 at 1:13:23 PM | More info | |
| 2017-2018 Afghanistan Data | 2017-2018 Afghanistan Summary Data v2 | April 23, 2026 at 12:35:58 PM | More info |
| Business Rates | Details of all of the business rates within London Borough of Hounslow. | April 22, 2026 at 10:18:09 AM | More info |
| Website Statistics [Archived] | This Website Statistics dataset has three resources showing usage of the Lincolnshire Open Data website. Web analytics terms used in each resource are defined in their accompanying Metadata file. As of April 2026, this dataset has been archived and will no longer be updated. Previous information will remain on the site for 3 months before being removed. For more information please contact; [email protected] | April 22, 2026 at 8:12:50 AM | More info |
| img_1608-apzpvs | April 21, 2026 at 4:11:15 PM | More info | |
| sambungan-20ini-20bukan-20peribadi-nmiy5g | April 21, 2026 at 4:10:23 PM | More info | |
| Parking Penalty Charge Notices (PCNs) | This dataset shows the Penalty Charge Notices (PCN's) issued in on-street parking areas throughout Lincolnshire. To view our interactive maps, press the "Explore" button and then select the option "Go to Resource". For any enquiries about this publication please contact [[email protected]](mailto:[email protected]) . | April 21, 2026 at 9:07:11 AM | More info |
| Grants to Voluntary and Community Sector Organisations | Grants to the VCSE sector. | April 20, 2026 at 4:07:24 PM | More info |
| whole-genome sequencing data and analysis output files | April 19, 2026 at 9:00:28 AM | More info | |
| co_sample-kc5ljy | April 19, 2026 at 8:32:23 AM | More info | |
| Land and Building Assets | This dataset contains records of all assets (land and/or buildings) that Lincolnshire County Council has an interest in - whether it be fully owned (freehold), fully leased or partially leased. The dataset also indicates the use of the site, which committee manages the site, and its size and geographic location. It also shows whether the site has restrictions against it due to being in a conservation area or having Listed Building status. The dataset is updated annually each January. - You can freely re-use this data for any purpose. Please attribute as: *Contains public sector information licensed from Lincolnshire County Council under the Open Government Licence v3.0*. - These copyright statements must be shown: *Contains OS data © Crown copyright and database right [year]. Contains Royal Mail data © Royal Mail copyright and database right [year]. Contains National Statistics data © Crown copyright and database right [year].* | April 17, 2026 at 10:08:31 AM | More info |
| Employment by Broad Industrial Group | This data uses a national employer survey to show numbers and percentages of people employed in jobs in industries in each broad industrial group. Data is shown for Lincolnshire and Districts, and also for smaller areas (such as Wards, and Lower super output areas (LSOAs from the 2011 Census)). Some limitations of the dataset are that figures for small areas (Wards and LSOAs) exclude employees in farm agriculture (Standard Industrial Classification subclass 01000). The figures include businesses registered for PAYE but not for VAT. Values may be rounded and low numbers suppressed (particularly at smaller geographies) so numbers may not tally precisely with figures for larger areas. Figures are shown for the most recent year available, although these are provisional and may be subject to later revision by ONS. This data is based on the ONS Business Register and Employment Survey (BRES, open access) sourced from the Office for National Statistics (ONS) Nomis website. More detailed breakouts of Standard Industrial Classifications are available from the Source weblink. This dataset is updated annually | April 17, 2026 at 7:33:16 AM | More info |
| House Prices | Average monthly House Prices (£) for Lincolnshire and Districts. The data shows prices for the following House types: All Houses, Detached, Semi-detached, Terraced, and Flat/maisonette. House Prices shown are based on Land Registry methodology. This dataset is updated on a monthly basis for a rolling 12 month period. Historical data is subject to revision. Source: Land Registry, UK House Price Index statistics. Copyright and licensing: *Contains HM Land Registry data © Crown copyright and database right [year]. This data is licensed under the Open Government Licence v3.0.* | April 16, 2026 at 2:06:54 PM | More info |
| Average Rainfall and Temperature | Average Rainfall (mm) and average Temperature (centigrade) for the North East England and East England Met Office Climate district, which includes Lincolnshire. This dataset shows the average Rainfall in millimetres and average Temperature in centigrade, by month, meteorological season, and annual calendar year. The data is sourced from the UK Met Office website. See the Source link for more information about the data and the area it covers. | April 16, 2026 at 8:30:17 AM | More info |
| Lincolnshire County Council Spending | These Open Data files show payments made by Lincolnshire County Council to suppliers each month, where the combined value of an invoice is over £500. In situations where the total invoice amount is over £500, individual payments contributing to the invoice total are shown. Details relating to some payments may be redacted for reasons of personal or commercial confidentiality. A more detailed statement of the council’s published spending information is available on the Lincolnshire County Council website (see the Source link). This data is updated monthly. Data source: Lincolnshire County Council Finance Department. For any enquiries about this publication contact [[email protected]] (mailto:[email protected]) . | April 15, 2026 at 4:08:38 PM | More info |
| Business Demography | Business demography data counts numbers of active businesses with turnover or employment in a reporting year. It also indicates numbers of new businesses (business births) and numbers of businesses terminated (business deaths) during the reporting year. Numbers and percentages of businesses that were newly created during years leading up to the latest reporting year, and which were still surviving, are also shown. When using the data, comparative business birth or death rates may be constructed adhoc if needed, by dividing the number of births or deaths by the number of active businesses. Please note that due to being required early in the reporting cycle, numbers of business deaths are provisional and may be subject to later revision. For more information about the dataset and its methodology, see the source link. Source: Office for National Statistics (ONS) | April 15, 2026 at 1:57:09 PM | More info |
| Children in Low Income Families | Annual statistics on the number and proportion (%) of children living in low income families both before and after housing costs. The tables show numbers and percentages for children aged under 16 living in Relative low income families, by local authority. These tables contains Official Statistics on the number of children living in Relative low income families After Housing Costs (AHC) and Relative and Absolute low income families Before Housing Costs (BHC.) Figures are calibrated to the Households Below Average Income (HBAI) UK total of children living in low income households. Please note- The DWP carried out a consultation in 2025 for a new statistical series which affected this dataset. The new data series was published in 2026 which covered data 2024 onwards, and they will not re-publish data prior to this. This page has the previous, pre-2022 data file - identified by the [Archived] note, alongside the new data series. Due to changes, the two data files will not be like for like for comparison purposes. 2023 data was not available. Description for Archived pre-2022 data: This dataset shows official annual experimental statistics for numbers and percentages of Children age under 16 living in Relative and Absolute low income families, by Local Authority District and Ward. Percentages are calculated by dividing the number of children age 0-15 living in low income families by resident children age 0-15 from mid-year population estimates. The latest data is marked P for Provisional and is subject to future revision. Data source: Department for Work and Pensions and HM Revenue and Customs. Updates are according to government statistics releases. For more information about this data and its methodology, please see the Source link. | April 15, 2026 at 11:18:34 AM | More info |
| Household Waste and Recycling | Household Waste Collected and Recycling rates. The dataset shows annual (financial year) figures for Local Authority Districts and Lincolnshire. The data shows the quantity (kg) of Household Waste Collected per person. (This reflects former national indicator BVPI 84a). The data also shows the overall Household Recycling and Composting Rate, as a percentage of household waste. (This reflects former national indicator NI192). Household Waste figures are used to calculate the Recycling rates. The county total figure for Household Waste may be higher than the sum of the districts, because Lincolnshire is a disposal authority not a collection authority. The data is updated annually. Source: DEFRA | April 15, 2026 at 7:51:25 AM | More info |
| Adult Smoking Prevalence | This data shows the percentage of adults (age 18 and over) who are current smokers. Smoking is the single biggest cause of preventable death and illnesses, and big inequalities exist between and within communities. Smoking is a major risk factor for many diseases, such as lung cancer, chronic obstructive pulmonary disease (COPD, bronchitis and emphysema) and heart disease. It is also associated with cancers in other organs. Smoking is a modifiable lifestyle risk factor. Preventing people from starting smoking is important in reducing the health harms and inequalities. This data is based on the Office for National Statistics (ONS) Annual Population Survey (APS). The percentage of adults is not age-standardised. In this dataset particularly at district level there may be inherent statistical uncertainty in some data values. Thus as with many other datasets, this data should be used together with other data and resources to obtain a fuller picture. Data source: Office for Health Improvement and Disparities (OHID) Public Health Outcomes Framework (PHOF) indicator 92443 (Number 15). This data is updated annually. | April 14, 2026 at 1:31:24 PM | More info |
| Deaths from Suicide | This data shows deaths (of people age 10 and over) from Suicide and Undetermined Injury, numbers and rates by gender, as 3-year moving-averages. Suicide is a significant cause of premature deaths occurring generally at younger ages than other common causes of premature mortality. It may also be seen as an indicator of underlying rates of mental ill-health. Directly Age-Standardised Rates (DASR) are shown in the data, where numbers are sufficient, so that death rates can be directly compared between areas. The DASR calculation applies Age-specific rates to a Standard (European) population to cancel out possible effects on crude rates due to different age structures among populations, thus enabling direct comparisons of rates. The figures in this dataset include deaths recorded as suicide (people age 10 and over) and undetermined injury (age 15 and over) as those are mostly likely also to have been caused by self-harm rather than unverifiable accident, neglect or abuse. The population denominators for rates are age 10 and over. Low numbers may result in zero values or missing data. Data source: Office for Health Improvement and Disparities (OHID), Public Health Outcomes Framework (PHOF) indicator 41001 (E10). This data is updated annually. | April 14, 2026 at 12:00:03 PM | More info |
| Deaths from Cardiovascular Disease | This data shows premature deaths (Age under 75) from Cardiovascular Disease, numbers and rates by gender, as 3-year moving-averages. Cardiovascular Disease include heart diseases and stroke, and others. Socio-economic and lifestyle factors are associated with circulatory disease deaths and inequalities in circulatory disease rates. Modifiable risk factors include smoking, excess weight, diet, and physical inactivity. Directly Age-Standardised Rates (DASR) are shown in the data, where numbers are sufficient, so that death rates can be directly compared between areas. The DASR calculation applies Age-specific rates to a Standard (European) population to cancel out possible effects on crude rates due to different age structures among populations, thus enabling direct comparisons of rates. A limitation on using mortalities as a proxy for prevalence of health conditions is that mortalities may give an incomplete view of health conditions in an area, as ill-health might not lead to premature death. Data source: NHS Digital (now part of NHS England) Compendium hub, dataset unique identifier P00395. This data is updated annually. Note: Compendium Mortality Consultation 2022 NHS Digital is currently analysing the results of the consultation that closed on 14 September 2022. In the meantime the next publication is on hold. 6 February 2023 10:55 AM | April 14, 2026 at 9:56:43 AM | More info |
| Deaths from Respiratory Disease | This data shows premature deaths (Age under 75) from Respiratory Disease, numbers and rates by gender, as 3-year range. Smoking is the major cause of chronic obstructive pulmonary disease (COPD), one of the major Respiratory diseases. COPD (which includes chronic bronchitis and emphysema) results in many hospital admissions. Respiratory diseases can also be caused by environmental factors (such as pollution, or housing conditions) and influenza. Respiratory disease mortality rates show a socio-economic gradient. Directly Age-Standardised Rates (DASR) are shown in the data, where numbers are sufficient, so that death rates can be directly compared between areas. The DASR calculation applies Age-specific rates to a Standard (European) population to cancel out possible effects on crude rates due to different age structures among populations, thus enabling direct comparisons of rates. A limitation on using mortalities as a proxy for prevalence of health conditions is that mortalities may give an incomplete view of health conditions in an area, as ill-health might not lead to premature death. Data source: Office for Health Improvement and Disparities (OHID) Public Health Outcomes Framework (PHOF) indicator 4.07i. This data is updated annually. | April 13, 2026 at 1:43:12 PM | More info |
| Deaths from All Cancers | This data shows premature deaths (Age under 75) from all Cancers, numbers and rates by gender, as 3-year moving-averages. Cancers are a major cause of premature deaths. Inequalities exist in cancer rates between the most deprived areas and the most affluent areas. Directly Age-Standardised Rates (DASR) are shown in the data (where numbers are sufficient) so that death rates can be directly compared between areas. The DASR calculation applies Age-specific rates to a Standard (European) population to cancel out possible effects on crude rates due to different age structures among populations, thus enabling direct comparisons of rates. A limitation on using mortalities as a proxy for prevalence of health conditions is that mortalities may give an incomplete view of health conditions in an area, as ill-health might not lead to premature death. Data source: Office for Health Improvement and Disparities (OHID), indicator ID 40501, E05a. This data is updated annually. | April 13, 2026 at 12:22:44 PM | More info |
| Deaths from Liver Disease | This data shows premature deaths (Age under 75) from Liver Disease, numbers and rates by gender, as 3-year moving-averages. Most liver disease is preventable and much is influenced by alcohol consumption and obesity prevalence, which are both amenable to public health interventions. Directly Age-Standardised Rates (DASR) are shown in the data (where numbers are sufficient) so that death rates can be directly compared between areas. The DASR calculation applies Age-specific rates to a Standard (European) population to cancel out possible effects on crude rates due to different age structures among populations, thus enabling direct comparisons of rates. A limitation on using mortalities as a proxy for prevalence of health conditions is that mortalities may give an incomplete view of health conditions in an area, as ill-health might not lead to premature death. Low numbers may result in zero values or missing data. Data source: Fingertips; https://fingertips.phe.org.uk/profile/mortality-profile/data. The data is updated annually. | April 10, 2026 at 1:10:55 PM | More info |
| NYC Teaching Artists 2025 | This is a subset of the Portrait of New York State Artists 2022 dataset, generated from the “Portrait of New York State Artists” survey (2022) by Creatives Rebuild New York (CRNY). This dataset was used in the report "Paying for Professionalism 2025", authored by NYC Arts in Education Roundtable. | April 9, 2026 at 3:51:16 PM | More info |
| Deaths from All Causes | This data shows premature deaths (Age under 75), numbers and rates by gender, as 3-year moving-averages. All-Cause Mortality rates are a summary indicator of population health status. All-cause mortality is related to Life Expectancy, and both may be influenced by health inequalities. Directly Age-Standardised Rates (DASR) are shown in the data (where numbers are sufficient) so that death rates can be directly compared between areas. The DASR calculation applies Age-specific rates to a Standard (European) population to cancel out possible effects on crude rates due to different age structures among populations, thus enabling direct comparisons of rates. A limitation on using mortalities as a proxy for prevalence of health conditions is that mortalities may give an incomplete view of health conditions in an area, as ill-health might not lead to premature death. Data source: Office for Health Improvement and Disparities (OHID), Public Health Outcomes Framework (PHOF) indicator ID 108. This data is updated annually. | April 8, 2026 at 2:31:11 PM | More info |
| Life Expectancy | Life expectancy is a summary measure of the all-cause mortality rates in an area in a given period. It shows an estimate of the average number of years a newborn baby would survive if he or she experienced the age-specific mortality rates for that area and time period throughout his or her life. Figures reflect mortality among those living in an area in the given time period, not the life expectancy of newborn children. That is because both the mortality rates of the area are likely to change in the future, and because many of those born in the area will live elsewhere for at least some part of their lives. Life expectancy is a summary measure of a population's health. It may be influenced by premature mortalities and health inequalities. Data source: Office for Health Improvement and Disparities (ODHI), indicator 90366. | April 8, 2026 at 1:04:53 PM | More info |
| P-Card Expenditure | Details of all spending by the council of Procurement Card | April 8, 2026 at 12:59:50 PM | More info |
| Excess Winter Deaths [Archived] | Note: This dataset has now been archived on Lincolnshire Open Data. The source data comes from ONS which has had this dataset under review following consultation of their data. More information can be found on the Gov.uk site; https://www.gov.uk/government/consultations/health-and-social-care-statistical-outputs/outcome/health-and-social-care-statistical-outputs-consultation-response The Excess Winter Mortality Index (EWD Index) shows excess winter deaths as a Percentage Ratio of the number of deaths expected in the (eight) warmer months either side of Winter (01 December to 31 March). So the data’s yearly time period is from 01 August to 31 July the following year. In other words, EWD is the ratio of extra deaths from all causes during the winter months compared to average non-winter deaths. The EWD Index is partly dependent on the proportion of Older People in the population, as most excess winter deaths affect Older People. This indicator covers all ages, but there is no standardisation in its calculation by age or any other factor. So figures for an area can be influenced for example by the proportion of Older People. This dataset is updated annually. Source: Office for Health Improvement and Disparities (OHID) Public Health Outcomes Framework (PHOF), indicator 90360 / E14. Age breakouts, confidence intervals and metadata are shown on the PHE (PHOF) site. | April 8, 2026 at 10:52:23 AM | More info |