A dataset providing a list of foodbanks around Leeds. Further Information For more information on foodbanks and support, please visit the following link: http://www.trusselltrust.org/

The survey aimed to gather data on the impact of the COVID19 outbreak on the food support providers active in Greater Manchester. The lockdown created organizational hurdles to many services providing food to the most vulnerable. The survey explored more in depth the obstacles, the needs and the prospects of 55 organizations that were on the frontline in the first months of the crisis.

In the United Kingdom food banks are increasingly required to alleviate hunger and food insecurity. In Greater Manchester (GM) alone, the GM Poverty Alliance mapped 171 emergency food providers. While the renewed interest of social scientists in the topic has produced an abundance of scientific literature, there remains a lack of knowledge on the webs of influence, support, conflict and interdependence between families experiencing food poverty and the emergency food providers. Project HUNG, by embracing a relational approach, focuses on the space of relations occupied by actors and institutions engaged with one another. Thereby, it proposes a relational object of analysis: not food poverty or food banks per se, but rather the interactions and transactions involved in the process of charitable supply and food demand. The project, based on the GM metropolitan county, makes use of quantitative analysis and ethnography of the everyday life to throw light on the "hunger bonds" connecting emergency providers and their users. On the one side, by gathering original survey data on food banks and their users, it provides a descriptive analysis on the determinants of food bank use through a dataset suitable for multilevel modelling (individuals nested in food banks). On the other side, it offers an in-depth ethnography of the daily life of a small sample of families that frequently rely on food banks by shadowing their meal choices for a prolonged period of time. By doing so, HUNG creates twofold added-value for the research community and for policy makers. Scholars nterested in food inequalities will have access to a ethodological toolkit, that could be used to extend research in other metropolitan domains. Simultaneously, by describing in detail the determinants of food bank use, it will improve the capability of agencies fighting food poverty to influence public policies to end food poverty.

This data provides information on the number of clients who have received and redeemed a foodbank voucher from 2015 to 2018 across Cambridge and the surrounding areas.

Included within the XLS file is a breakdown of the recipients of each voucher whether the voucher was for adults or children or both.

The data has been provided by Cambridge City Foodbank - https://cambridgecity.foodbank.org.uk/.

‘Note that none of the details provided here can be traced to individual households - the data has been completely anonymised. All low cell counts of below 5, have been rounded up and replaced with a 5. This prevents any breaches of GDPR 2018’

The Family Resources Survey (FRS) has been running continuously since 1992 to meet the information needs of the Department for Work and Pensions (DWP). It is almost wholly funded by DWP.

The FRS collects information from a large, and representative sample of private households in the United Kingdom (prior to 2002, it covered Great Britain only). The interview year runs from April to March.

The focus of the survey is on income, and how much comes from the many possible sources (such as employee earnings, self-employed earnings or profits from businesses, and dividends; individual pensions; state benefits, including Universal Credit and the State Pension; and other sources such as savings and investments). Specific items of expenditure, such as rent or mortgage, Council Tax and water bills, are also covered.

Many other topics are covered and the dataset has a very wide range of personal characteristics, at the adult or child, family and then household levels. These include education, caring, childcare and disability. The dataset also captures material deprivation, household food security and (new for 2021/22) household food bank usage.

The FRS is a national statistic whose results are published on the gov.uk website. It is also possible to create your own tables from FRS data, using DWP’s Stat Xplore tool. Further information can be found on the gov.uk Family Resources Survey webpage.

Secure Access FRS data
In addition to the standard End User Licence (EUL) version, Secure Access datasets, containing unrounded data and additional variables, are also available for FRS from 2005/06 onwards - see SN 9256. Prospective users of the Secure Access version of the FRS will need to fulfil additional requirements beyond those associated with the EUL datasets. Full details of the application requirements are available from http://ukdataservice.ac.uk/media/178323/secure_frs_application_guidance.pdf" style="background-color: rgb(255, 255, 255);">Guidance on applying for the Family Resources Survey: Secure Access.

FRS, HBAI and PI
The FRS underpins the related Households Below Average Income (HBAI) dataset, which focuses on poverty in the UK, and the related Pensioners' Incomes (PI) dataset. The EUL versions of HBAI and PI are held under SNs 5828 and 8503, respectively. The Secure Access versions are held under SN 7196 and 9257 (see above).

Before Covid-19, FareShare UK regularly distributed surplus food to third sector organisations across Leeds from their warehouses in Barnsley and Beeston. Once lockdown measures began in the w/c 16 March, Leeds City Council opened a larger warehouse in Leeds to provide space to store more food and arrange emergency food delivery and distribution withing social distance guidelines The Leeds Warehouse was established as a response to Covid-19 and receives food from Fareshare in Barnsley and Beeston and is an indication of the amount of food being delivered in the Council's joint and partnership response to Emergency Food Provision during the pandemic. The total amount of food to Leeds is all the Food being delivered to Leeds by FareShare. This figure includes food to the Leeds Warehouse and food to third sector organisations such as food banks, soup kitchens, and charities. From 15/07/20 the data was changed to being recorded on a fortnightly instead of weekly basis. NB The large Leeds Warehouse was wound down from 1st Sept, after which point a smaller warehouse was set up to make up food parcels as part of the post lockdown emergency support service. From this date the report shows food being delivered to third sector organisations and is reported on an adhoc basis.

Good Manufacturing Practice Inspections Team (GMPIT) contribution to these assessments

Dataset Description

This dataset is sourced from FAOSTAT, the comprehensive statistical database maintained by the Food and Agriculture Organization (FAO) of the United Nations. It provides detailed and reliable data on global agriculture, food security, nutrition, and related topics. The dataset covers the period from 1971 to 2022, offering a 50-year perspective on trends and changes in agricultural production, trade, resource use, and environmental impacts.

Visit the FAOSTAT website: https://www.fao.org/faostat/.

Variables :

• Year: The year for which the data is recorded (e.g., 1971, 2022).
• China: A metric (likely percentage change or growth rate) for China in the given year.
• India: A metric for India in the given year.
• Pakistan: A metric for Pakistan in the given year.
• United Arab Emirates: A metric for the UAE in the given year.
• United Kingdom: A metric for the UK in the given year.
• United States of America: A metric for the USA in the given year.

Each column (except Year) represents a country and contains numerical values, possibly indicating growth rates, percentage changes, or other metrics over time.

Possible Sources International Organizations: FAOSTAT (Food and Agriculture Organization): Provides data on agriculture, food security, and related metrics. World Bank: Offers economic, demographic, and environmental data. United Nations (UN): Publishes data on global development indicators. IMF (International Monetary Fund): Provides financial and economic data. Government Agencies: National statistical offices (e.g., Census Bureau, Ministry of Agriculture). Central banks or economic departments. Research Institutions: Universities or think tanks that collect and analyze data for specific studies

United Kingdom UK: Exports: % of Goods Exports: Food data was reported at 6.868 % in 2017. This records a decrease from the previous number of 7.103 % for 2016. United Kingdom UK: Exports: % of Goods Exports: Food data is updated yearly, averaging 6.714 % from Dec 1962 (Median) to 2017, with 56 observations. The data reached an all-time high of 8.128 % in 1992 and a record low of 4.649 % in 2006. United Kingdom UK: Exports: % of Goods Exports: Food data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Kingdom – Table UK.World Bank.WDI: Exports. Food comprises the commodities in SITC sections 0 (food and live animals), 1 (beverages and tobacco), and 4 (animal and vegetable oils and fats) and SITC division 22 (oil seeds, oil nuts, and oil kernels).; ; World Bank staff estimates through the WITS platform from the Comtrade database maintained by the United Nations Statistics Division.; Weighted average; Merchandise export shares may not sum to 100 percent because of unclassified trade.

Underwater video and camera stills and grabs acquired via Hamon Grab gathered March to January 2014. These data are archived with the Marine Environmental Data and Information Network (MEDIN) Data Archive Centres (DACs) including the British Geological Survey (BGS) DAC for geology and geophysics, The Archive for Marine Species and Habitats Data (DASSH) and the United Kingdom Hydrographic Office (UKHO) bathymetry DAC. The full site data package including raw is also available on request from BGS.

Multibeam survey collecting bathymetry and backscatter to give full coverage with existing coverage from previous survey in 20XX. WGS84 latitude and longitude co-ordinates collected by Differential Global Positioning System (D-GPS), depths corrected to Chart Datum (CD). Raw and processed data delivered to Centre for Environment, Fisheries and Aquaculture Science, UK (Cefas) complete with georeferenced mosaics and GeoTiffs images. Drop Camera collecting video and still images of the seabed habitats within Cape Bank rMCZ.Grab survey collecting PSA and benthin infaunal samples from seabed habitats within Cape Bank rMCZ. These data are archived with the Marine Environmental Data and Information Network (MEDIN) Data Archive Centres (DACs) including the British Geological Survey (BGS) DAC for geology and geophysics, The Archive for Marine Species and Habitats Data (DASSH) and the United Kingdom Hydrographic Office (UKHO) bathymetry DAC.The full site data package (excluding raw bathymetry) is also available on request from BGS.

Тези данни предоставят информация за броя на клиентите, които са получили и изкупили ваучер за хранителна банка в периода 2015—2018 г. в Кеймбридж и околните райони. В XLS файла е включена разбивка на получателите на всеки ваучер, независимо дали ваучерът е за възрастни или деца, или и двете. Данните са предоставени от Cambridge City Foodbank — " https://cambridgecity.foodbank.org.uk/. "> https://cambridgecity.foodbank.org.uk/. <силен стил="размер на кутията: гранична кутия; цвят: RGB(94, 102, 111); семейство шрифтове: Монсерат; размер на шрифта: 16px; цвят на фона: RGB(255, 244, 244);„> 'Забележете, че нито една от подробностите, предоставени тук, не може да бъде проследена до отделни домакинства — данните са напълно анонимизирани. Всички ниски клетки под 5, са закръглени и заменени с 5. Това предотвратява всякакви нарушения на ОРЗД от 2018 г.“

A seabed survey for the purpose of habitat identification and mapping at the North West of Jones Bank recommended Marine Conservation Zone (rMCZ) site, west of Cornwall, UK. A supplement to the main survey of the site conducted by Gardline in March 2012. The presnt survey, by cefas & the JNCC (July 2012) targeted some of the original ground-truth stations that had not previously been occupied and several additional stations. Ground-truth sampling by grabs and underwater cameras (video & stills images). Multibeam bathymetry and backscatter collected opportunistically on transit between stations. Broadscale habitat (BSH) and habitat FOCI (Features of Conservation Interest) recorded at time of sampling and included in cruise/survey report. More in-depth interpretation to be made in a Post-Survey Site Report, following integrated assessment of acoustics and outputs from laboratory analysis of benthic samples. These data are archived with the Marine Environmental Data and Information Network (MEDIN) Data Archive Centres (DACs) including the British Geological Survey (BGS) DAC for geology and geophysics, The Archive for Marine Species and Habitats Data (DASSH) and the United Kingdom Hydrographic Office (UKHO) bathymetry DAC. The full site data package including raw is also available on request from BGS.

Details unknown. These data are archived with the Marine Environmental Data and Information Network (MEDIN) Data Archive Centres (DACs) including the British Geological Survey (BGS) DAC for geology and geophysics, The Archive for Marine Species and Habitats Data (DASSH) and the United Kingdom Hydrographic Office (UKHO) bathymetry DAC. The full site data package (excluding raw bathymetry) is also available on request from BGS.