Non Lincolnshire County Council

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

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.*

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.

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)

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.

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

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.

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.

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

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.