AndreaBozzo/ceres-open-data-index huggingface dataset:
Syria Market Monitoring Exercise- March 2015

The market monitoring system was developed by the Cash-Based Responses Technical Working Group and REACH Turkey, after the CBR – TWG identified that monitoring markets on a regular basis in Syria was key to understand how markets function and cope with the challenges brought by the conflict, as well as with rough climate conditions. The market monitoring system also aims at informing program design to utilise existing markets, notably through cash-based responses and food assistance, to promote beneficiary empowerment and cost efficiency. Field staff will monitor prices and stock levels of basic commodities in markets in northern Syria on a monthly basis to inform and guide cash and voucher programs, as well as food assistance, for populations relying on the assessed markets.

### Resources
* March 2015

### Credit
The Market Assessment was carried out by partner organizations of the CBR - TWG and REACH, following an initiative launched by the Cash-Based Responses - Technical Working Group. This project is being funded by OFDA. 

Tags: food security, markets
Organization: REACH Initiative
Syria Market Monitoring Exercise- April 2015

The market monitoring system was developed by the Cash-Based Responses Technical Working Group and REACH Turkey, after the CBR – TWG identified that monitoring markets on a regular basis in Syria was key to understand how markets function and cope with the challenges brought by the conflict, as well as with rough climate conditions. The market monitoring system also aims at informing program design to utilise existing markets, notably through cash-based responses and food assistance, to promote beneficiary empowerment and cost efficiency. Field staff will monitor prices and stock levels of basic commodities in markets in northern Syria on a monthly basis to inform and guide cash and voucher programs, as well as food assistance, for populations relying on the assessed markets.

### Resources
* April 2015

### Credit
The Market Assessment was carried out by partner organizations of the CBR - TWG and REACH, following an initiative launched by the Cash-Based Responses - Technical Working Group. This project is being funded by OFDA. 

Tags: food security, markets
Organization: REACH Initiative
Multi-hazard Average Annual Loss

GAR 2015 Risk results are presented as a series of probabilistic risk metrics. One of them is the multi-hazard Average Annual Loss (AAL) which is the long-term expected loss per year, averaged over many years. While there may actually be little or no losses, over a short period of time, the AAL accounts much larger losses that may occur more infrequently. AAL is also an indication of the amount of savings a nation need to set aside each year to cover the cost of long term losses from that hazard. As GAR global risk assessment is performed at global scale, the AAL calculated should be read as order of magnitude for the potential recurrent extent of losses in a country.

Tags: geodata, hazards and risk
Organization: United Nations Office for Disaster Risk Reduction (UNDRR)
Kenya - Child health care statistics in Bomet County

This dataset provides information on sickness,access and use of health care facilities for children in Bomet county. it reveals that a majority (69.5%) of children under the age of five years had not gotten sick within two weeks preceding the survey. However, 30.5% of the children under the age of five years were reported to have fallen ill within 2 weeks preceding the survey

Tags: children, health
Organization: Kenya Red Cross Society
Uganda - Kasese food security, consumption and feeding habits

This dataset contains information on food security, food consumption and feeding habits for kasese region of Uganda.Uganda after years of implementation of a food security program. Over 77% of households have enough food for a year and with 3 meals per day and balanced diet. Data shows ancilliary activities such as farmer training in sustainable agricultural practices, soil conservation and others which led to the attainment of food security. 

Tags: food security
Organization: Caritas Australia (inactive)
LSIB - Geographic Thesaurus

The "LSIB Geographic Thesaurus" enables integration of multiple datasets across different country codes, including the [FIPS](http://en.wikipedia.org/wiki/List_of_FIPS_country_codes) and [ISO](http://en.wikipedia.org/wiki/ISO_3166-1) standard codes.  This geographic thesaurus streamlines integration of datasets from multiple sources.  This thesaurus includes the following codes: [FIPS](http://en.wikipedia.org/wiki/List_of_FIPS_country_codes), [ISO Alpha-2](http://en.wikipedia.org/wiki/ISO_3166-1_alpha-2), [ISO Alpha-3](http://en.wikipedia.org/wiki/ISO_3166-1_alpha-3), [ISO Numeric](http://en.wikipedia.org/wiki/ISO_3166-1_numeric), [NATO Stanag](http://en.wikipedia.org/wiki/List_of_NATO_country_codes), and [ccTLD](http://en.wikipedia.org/wiki/Country_code_top-level_domain).  Although this thesaurus was compiled by the [U.S. Department of State, Humanitarian Information Unit](https://hiu.state.gov/), the codes themselves are managed by their respective organizations.  The data contained herein is entirely unclassified and is current as of 20 March 2015. The data is updated as needed.

Tags: geodata
Organization: U.S. Department of State - Humanitarian Information Unit (inactive)
Spatialized 100m school age population grid for Togo, by educational level and sex, 2020

This GeoTIFF file contains 12 bands presenting the school age population for Togo in 2020. It was constructed using constrained UN-adjusted spatialized age and sex population estimates for 2020 by [WorldPop](https://hub.worldpop.org/geodata/summary?id=50548"Togo 100m Age structures in 2020 with country total adjusted to match the corresponding UNDP estimate"), by applying the methodology published by [IIEP-UNESCO](https://unesdoc.unesco.org/ark:/48223/pf0000379198 "Estimating school-age populations by applying Sprague multipliers to raster data") (2021). The bands contain information for Female, Male, and Total, for Pre-primary, Primary, Lower Secondary, and Upper secondary, reconstructed from single years of age using ISCED information on starting age and duration included in [UIS](http://data.uis.unesco.org/ "UIS.Stat"). The correspondence is included below:

* Band 1: Pre-primary Female
* Band 2: Pre-primary Male
* Band 3: Pre-primary Total
* Band 4: Primary Female
* Band 5: Primary Male
* Band 6: Primary Total
* Band 7: Lower secondary Female 
* Band 8: Lower secondary Male
* Band 9: Lower secondary Total
* Band 10: Upper secondary Female
* Band 11: Upper secondary Male
* Band 12: Upper secondary Total

The boundaries used for the clipping of the resulting calculations came from the [United Nations Second Administrative Level Boundary program](https://www.unsalb.org/data/tgo "Togo").

Disclaimer: The designations employed and the presentation of the material in this publication do not imply the expression of any opinion whatsoever on the part of UNESCO or IIEP concerning the legal status of any country, territory, city or area, or of its authorities, or concerning the delimitation of its frontiers or boundaries. UNESCO or IIEP are not responsible for the use given to this information.


Tags: baseline population, demographics, education, geodata
Organization: UNESCO
Spatialized 100m school age population grid for Senegal, by educational level and sex, 2020

This GeoTIFF file contains 12 bands presenting the school age population for Senegal in 2020. It was constructed using constrained UN-adjusted spatialized age and sex population estimates for 2020 by [WorldPop](https://hub.worldpop.org/geodata/summary?id=50526 "Senegal 100m Age structures in 2020 with country total adjusted to match the corresponding UNDP estimate"), by applying the methodology published by [IIEP-UNESCO](https://unesdoc.unesco.org/ark:/48223/pf0000379198 "Estimating school-age populations by applying Sprague multipliers to raster data") (2021). The bands contain information for Female, Male, and Total, for Pre-primary, Primary, Lower Secondary, and Upper secondary, reconstructed from single years of age using ISCED information on starting age and duration included in [UIS](http://data.uis.unesco.org/ "UIS.Stat"). The correspondence is included below:

* Band 1: Pre-primary Female
* Band 2: Pre-primary Male
* Band 3: Pre-primary Total
* Band 4: Primary Female
* Band 5: Primary Male
* Band 6: Primary Total
* Band 7: Lower secondary Female 
* Band 8: Lower secondary Male
* Band 9: Lower secondary Total
* Band 10: Upper secondary Female
* Band 11: Upper secondary Male
* Band 12: Upper secondary Total

The boundaries used for the clipping of the resulting calculations came from the [United Nations Second Administrative Level Boundary program](https://www.unsalb.org/data/sen "Senegal").

Disclaimer: The designations employed and the presentation of the material in this publication do not imply the expression of any opinion whatsoever on the part of UNESCO or IIEP concerning the legal status of any country, territory, city or area, or of its authorities, or concerning the delimitation of its frontiers or boundaries. UNESCO or IIEP are not responsible for the use given to this information.


Tags: baseline population, demographics, education, geodata
Organization: UNESCO
Spatialized 100m school age population grid for Haiti, by educational level and sex, 2020

This GeoTIFF file contains 12 bands presenting the school age population for Haiti in 2020. It was constructed using constrained UN-adjusted spatialized age and sex population estimates for 2020 by [WorldPop](https://hub.worldpop.org/geodata/summary?id=50431 "Haiti 100m Age structures in 2020 with country total adjusted to match the corresponding UNDP estimate"), by applying the methodology published by [IIEP-UNESCO](https://unesdoc.unesco.org/ark:/48223/pf0000379198 "Estimating school-age populations by applying Sprague multipliers to raster data") (2021). The bands contain information for Female, Male, and Total, for Pre-primary, Primary, Lower Secondary, and Upper secondary, reconstructed from single years of age using ISCED information on starting age and duration included in [UIS](http://data.uis.unesco.org/ "UIS.Stat"). The correspondence is included below:

* Band 1: Pre-primary Female
* Band 2: Pre-primary Male
* Band 3: Pre-primary Total
* Band 4: Primary Female
* Band 5: Primary Male
* Band 6: Primary Total
* Band 7: Lower secondary Female 
* Band 8: Lower secondary Male
* Band 9: Lower secondary Total
* Band 10: Upper secondary Female
* Band 11: Upper secondary Male
* Band 12: Upper secondary Total

The boundaries used for the clipping of the resulting calculations came from the [United Nations Second Administrative Level Boundary program](https://www.unsalb.org/data/hti "Haiti").

Disclaimer: The designations employed and the presentation of the material in this publication do not imply the expression of any opinion whatsoever on the part of UNESCO or IIEP concerning the legal status of any country, territory, city or area, or of its authorities, or concerning the delimitation of its frontiers or boundaries. UNESCO or IIEP are not responsible for the use given to this information.


Tags: baseline population, demographics, education, geodata
Organization: UNESCO
Philippines - Annual per capita poverty thresholds by region/province

The estimates for 2005 were revised following the recomputation of the food thresholds.	 Completely urban areas; no thresholds for rural areas. The provinces of Batanes, Marinduque, Siquijor, Southern Leyte and Abra were not considered in the computation of the urban and rural food thresholds of their respective regions (Regions II, IV-B, VII, VIII, and CAR). Urban and rural food thresholds were not computed for the provinces of Batanes, Marinduque, Siquijor, Southern Leyte, and Abra. The 2003 Family Income and Expenditure Survey does not include any sample urban barangays from these provinces.

Tags: poverty, socioeconomics
Organization: OCHA Philippines
Inforgrafía 2014 OCHA/PNUD

Brechas en la calidad de vida de los desplazados en Colombia.
La infografía fue elaborada entre OCHA y PNUD con el objetivo de presentar este producto en el Cartagena Data Fest realizado del 20 al 22 del mes de Abril de 2015.
Las información utilizada para el desarrollo de la misma, fue extraída de: la encuesta de goce efectivo de derechos (EGED), la gran encuesta integrada de hogares (iEIH)

Tags: baseline population, displacement
Organization: OCHA Colombia
Establecimientos de salud, segun departamento y tipo de establecimiento en Bolivia

Datos obtenidos por el Instituto Nacional de Estadística (INE) tomando como fuente el Ministerio de Salud y Deportes.
Los datos muestran la evolución de los establecimientos de salud por departamento desde 1997 hasta 2013.

Tags: health
Organization: OCHA Latin America and the Caribbean (ROLAC)
UrbanInfo Indicators 2011

The UrbanInfo provides updated information on these topics and also covers new topics, such as disaster, crime, migration, income inequalities and transport. It includes, for the first time, the City Prosperity Index with information on productivity; infrastructure development; environmental sustainability; quality of life; equity/social inclusion; and Composite Street Connectivity Index (CSCI). The CSCI is composed with three elements: proportion of land allocated to street (percent), street density (km/km2) and the intersection density (number of intersection per km2).

This version of UrbanInfo is designed by UN-HABITAT in collaboration with the United Nations Children’s Fund (UNICEF) and the United Nations Development Group (UNDG), with financial support from the United Nations Development Account and other partners.

Tags: economics, socioeconomics, urban
Organization: United Nations Human Settlements Programmes, Data and Analytics Section
Ethiopia - Nutrition hotspot woredas (2015)

Nutrition hotspot woredas classified as priority 1, 2, 3 or no priority.



The classification of the hotspot woredas was done in 2 phases at regional and federal level. The regional level classification was completed on 22 May 2015 while the federal level classification team that comprised of DRMFSS/ENCU, WFP and FEWS-NET started on 25-27 May 2015. The hotspot woredas list is intended to guide nutrition cluster partners and other stakeholders to plan, prioritize resource allocation and implement /strengthen emergency nutrition responses particularly in priority one and two woredas; while the situation will be closely monitored in priority three.





Tags: nutrition
Organization: OCHA Ethiopia
Number of Refugees from Yemen

The UNHCR Refugee Population statistics are compiled and curated at headquarters-level and released yearly at the same time of the UNHCR Statistical Yearbooks. This is a subset of the data **only with refugees from Yemen**. The full dataset is available [here](http://data.hdx.rwlabs.org/dataset/unhcr-refugee-population-statistics).

This dataset contains refugee population statistics from 1975 until 2012.


Tags: refugees
Organization: UNHCR - The UN Refugee Agency
Number of Refugees from Kenya

The UNHCR Refugee Population statistics are compiled and curated at headquarters-level and released yearly at the same time of the UNHCR Statistical Yearbooks. This is a subset of the data **only with refugees from Kenya**. The full dataset is available [here](http://data.hdx.rwlabs.org/dataset/unhcr-refugee-population-statistics).

This dataset contains refugee population statistics from 1975 until 2012.



Tags: refugees
Organization: UNHCR - The UN Refugee Agency
5th Global Report on Adult Learning and Education (GRALE)

The Global Report on Adult Learning and Education (GRALE) by the UNESCO Institute for Lifelong Learning (UIL) provides a clear and comprehensive picture of the state of adult learning and education around the world. Five reports have been published since 2009. GRALE 5 monitors the extent to which UNESCO Member States put their international commitments on adult education into practice and reflects data submitted by 159 countries. 

Tags: education
Organization: UNESCO
4th Global Report on Adult Learning and Education (GRALE)

The Global Report on Adult Learning and Education (GRALE) by the UNESCO Institute for Lifelong Learning (UIL) provides a clear and comprehensive picture of the state of adult learning and education around the world. Five reports have been published since 2009. GRALE 4 monitors the extent to which UNESCO Member States put their international commitments on adult education into practice and reflects data submitted by 159 countries. 

Tags: education
Organization: UNESCO
The Contribution of Higher Education Institutions to Lifelong Learning

This dataset if part of a larger research project called ‘The contribution of higher education institutions to lifelong learning’, which was conducted from 2020 to 2022 by the UNESCO Institute for Lifelong Learning and Shanghai Open University. Theinternational survey, informed by a comprehensive literature review and feedback from international experts, comprised 44 closed-ended questions. The survey was piloted among 18 HEIs, covering all UNESCO regions, between April and May 2020. The full survey was then launched in October 2020 in five languages (English, French, Spanish, Chinese, and Arabic), using a designated online platform (Survey Monkey).The survey primarily addressed senior leadership in HEIs and aimed for one consolidated institutional answer, asking the respondents to consult with relevant units before submitting the completed questionnaire. By January 2021, 452 complete responses were received out of 2,191 participating institutions that had started the survey, which amounts to a completion rate of 18%. After eliminating duplicates and invalid responses, the sample consists of 399 valid answers. Of these valid responses, 268 (67.17%) were in English, 78 (19.44%) in Spanish, 23 (5.76%) in Chinese, 16 (4.01%) in Arabic and 14 (3.51%) in French.

Tags: education
Organization: UNESCO
Evaluation de Necesidades 2022

Tipo de encuesta: Informante clave
Encuestas completadas: 10,534
Estados: 20 de 24 que abarcan 102 municipios
Preguntas: 90 con 477 opciones de respuesta en 10 secciones
1.	Información Básico
2.	Acceso a Servicios
3.	Seguridad Alimentaria
4.	Salud
5.	Alojamiento Energía y Enseres
6.	Agua Saneamiento e Higiene
7.	Educación
8.	Protección
9.	Movilidad Humana
10.	Rendición de Cuentas


Tags: needs assessment
Organization: OCHA Venezuela
GIFMM Joint Multi-Sector Needs Assessment COVID 19 | June 2020

Data set covering the second round of the GIFMM joint multi-sector needs assessment, implemented in June 2020, with an objective to measure the living conditions of Venezuelan refugee and migrant households in Colombia. Twenty-nine organizations undertook more than 2,500 phone interviews with households, including a panel analysis, to measure how conditions have evolved for the almost 450 households interviewed during both rounds of the assessment. Final report can be found here: https://r4v.info/es/documents/details/77776

Organization: Grupo Interagencial sobre Flujos Migratorios Mixtos (inactive)
GIFMM Joint Multi-Sector Needs Assessment COVID 19 | July 2020

Data set covering the third round of the GIFMM joint multi-sector needs assessment, implemented in July 2020, with an objective to measure the living conditions of Venezuelan refugee and migrant households in Colombia, to inform the 2021 Refugee and Migrant Response Plan. 34 organizations undertook more than 3,100 phone interviews with households. The final report can be found here (in English) https://data2.unhcr.org/es/documents/details/79281 and here (in Spanish) https://r4v.info/es/documents/details/79280

Tags: needs assessment, refugees
Organization: Grupo Interagencial sobre Flujos Migratorios Mixtos (inactive)
GIFMM Colombia: Joint Rapid Needs Assessment - COVID-19 | May 2020

Results of the remote joint needs assessment carried out in Colombia by 17 GIFMM partners  in May 2020 on the situation and needs of refugees and migrants in the context of COVID-19, as well as on prevention and response measures to the pandemic in Colombia. Full report, in English and Spanish, available here: https://r4v.info/es/documents/details/76032

Organization: Grupo Interagencial sobre Flujos Migratorios Mixtos (inactive)
GIFMM Joint Multi-Sector Needs Assessment COVID 19 | November 2020

Data set covering the fourth round of the GIFMM joint multi-sector needs assessment, implemented in November 2020, with an objective to measure the living conditions of Venezuelan refugee and migrant households in Colombia, to establish a baseline to monitor the 2021 Refugee and Migrant Response Plan. The 36 participating organizations undertook over 3,100 phone interviews with households.

Organization: Grupo Interagencial sobre Flujos Migratorios Mixtos (inactive)
Galkayo District Conflict and Security Assessment - 2015

As part of its continual assessment of issues directly affecting community security and safety, OCVP conducted an extensive collection of primary data in GALKAYO District - the capital of the central Mudug region of Somalia.  
Further details @ http://www.ocvp.org/ocvp5/index.php/publications/dcsa/52-galkayo-district-conflict-and-security-assessment-report-2015

Organization: Observatory of Conflict and Violence Prevention (inactive)
Confinamiento

Desde julio de 2013 la oficina de OCHA en Colombia estableció un marco para el monitoreo del confinamiento. Según este marco, una población se encuentra confinada cuando sufre limitaciones a su libre movilidad por un período igual o superior a una semana, y además tiene acceso limitado a tres bienes o servicios básicos, como: educación, salud, agua y saneamiento, medios de vida, entre otros. 


Tags: conflict-violence, education, internally displaced persons-idp, population
Organization: OCHA Colombia
Commonly Used Abbreviations in United Nations Logistics

￼Commonly Used Abbreviations in United Nations Logistics

Scraped from http://www.un.org/en/peacekeeping/sites/coe/referencedocuments/COE%20Acronyms.pdf on 20th October 2014

Listed by ￼Contingent Owned Equipment Unit / COE & PMSS/ UNHQ 
Dated October 2008
COE website: ￼www.un.org/Depts/dpko/COE/home

Tags: disease, logistics
Organization: Open Crisis (inactive)
National Constituency Boundaries-Pakistan

National Constituency Boundaries of Pakistan compiled by ALHASAN SYSTEMS Private Limited as one of its R&D projects and in the public interest.
 	

ALHASAN SYSTEMS made these boundaries public before Pakistan’s General Election 2013 in its Open Data/ Open Access [OD/OA] Seminar on May 5, 2013. This data is used thoroughly in Pakistan by many stakeholders and researchers including UN and other donor agencies. For further details on the use of this data please download Alhasan Systems monthly Election Bulletins from [http://www.alhasan.com/bulletins/election].

Tags: administrative boundaries-divisions, geodata
Organization: ALHASAN Systems Private Limited
Pakistan Union Council Boundaries along with other admin boundaries dataset.

Alhasan Systems Private Limited is proudly sharing with you Pakistan's complete Union Council Boundaries on the 70th Independence Day of Pakistan. 

This data will remain the only public version of UCs boundaries for all Pakistan citizens and organization both public and private and researchers around the world until a more authentic version become available from the concerned institution.

Dear GIS/ IM professionals. This UC boundary is compiled from data mining of public sources, and you are encouraged to use it in your projects. We request you to bring enhancement to this dataset and make them public on HDX as a newer version for the larger benefit. 

Tags: administrative boundaries-divisions, development, geodata
Organization: ALHASAN Systems Private Limited