Suriname - Humanitarian Data Exchange

Suriname - Requirements and Funding Data

700+ Downloads

Time Period of the Dataset [?]: December 31, 2023-December 31, 2023 ... More

This dataset updates: Every day

This dataset is part of the data series [?]: OCHA FTS - Requirements and Funding Data

FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's Financial Tracking Service, is encoded as utf-8 and the second row of the CSV contains HXL tags.

CSV

Suriname: Population Density for 400m H3 Hexagons

Kontur

20+ Downloads

Time Period of the Dataset [?]: July 10, 2023-November 01, 2023 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: Kontur - Population Density for 400m H3 Hexagons

Suriname population density for 400m H3 hexagons. Built from Kontur Population: Global Population Density for 400m H3 Hexagons Vector H3 hexagons with population counts at 400m resolution. Fixed up fusion of GHSL, Facebook, Microsoft Buildings, Copernicus Global Land Service Land Cover, Land Information New Zealand, and OpenStreetMap data.

Geopackage

Suriname: subnational poverty

Oxford Poverty & Human Development Initiative

100+ Downloads

Time Period of the Dataset [?]: July 11, 2023-October 17, 2024 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index

This table contains subnational multidimensional poverty trends data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI methodology is detailed in Alkire, Kanagaratnam & Suppa (2023).

XLSX

Suriname: Administrative Division with Aggregated Population

Kontur

20+ Downloads

Time Period of the Dataset [?]: April 07, 2022-April 07, 2022 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: Kontur - Administrative Division with Aggregated Population

Suriname administrative division with aggregated population. Built from Kontur Population: Global Population Density for 400m H3 Hexagons on top of OpenStreetMap administrative boundaries data. Enriched with HASC codes for regions taken from Wikidata. Global version of boundaries dataset: Kontur Boundaries: Global administrative division with aggregated population

Geopackage

Suriname - IFRC Appeals

International Federation of Red Cross and Red Crescent Societies (IFRC)

30+ Downloads

Time Period of the Dataset [?]: May 11, 2006-October 31, 2021 ... More

This dataset updates: Every week

This dataset is part of the data series [?]: IFRC - Appeals

The International Federation of Red Cross and Red Crescent Societies (IFRC) is the world’s largest humanitarian network. Our secretariat supports local Red Cross and Red Crescent action in more than 192 countries, bringing together almost 15 million volunteers for the good of humanity. We launch Emergency Appeals for big and complex disasters affecting lots of people who will need long-term support to recover. We also support Red Cross and Red Crescent Societies to respond to lots of small and medium-sized disasters worldwide—through our Disaster Response Emergency Fund (DREF) and in other ways. There is also a global dataset.

CSV

Admissions for Treatment of Severe Acute Malnutrition (SAM)

UNICEF Data and Analytics (HQ)

400+ Downloads

Time Period of the Dataset [?]: February 08, 2021-August 14, 2024 ... More

This dataset updates: Live

Number of children 6-59 months admitted for TREATMENT OF SEVERE ACUTE MALNUTRITION (SAM) by country

CSV

Suriname - Education Indicators

UNESCO

500+ Downloads

Time Period of the Dataset [?]: January 01, 1970-December 31, 2019 ... More

This dataset updates: Every three months

This dataset is part of the data series [?]: UNESCO - Education Indicators

Education indicators for Suriname. Contains data from the UNESCO Institute for Statistics bulk data service covering the following categories: SDG 4 Global and Thematic (made 2022 September), Other Policy Relevant Indicators (made 2022 September), Demographic and Socio-economic (made 2022 September)

CSV

Suriname: High Resolution Population Density Maps + Demographic Estimates

Data for Good at Meta

1200+ Downloads

Time Period of the Dataset [?]: June 10, 2019-June 10, 2019 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: Data for Good at Meta - High Resolution Population Density Maps and Demographic Estimates

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Suriname: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

zip

Climate Change Opinion Survey

Data for Good at Meta

3100+ Downloads

Time Period of the Dataset [?]: February 17, 2021-March 03, 2021 ... More

This dataset updates: Every year

In partnership with Yale, Meta launched a climate change opinion survey that explores public climate change knowledge, attitudes, policy preferences, and behaviors. The 2022 survey includes respondents from nearly 200 countries and territories. We are sharing country level data from this survey, providing policymakers, research institutions, and nonprofits with an international view of public climate change opinion. For more information please see https://dataforgood.facebook.com/dfg/tools/climate-change-opinion-survey If you're interested in becoming a research partner and accessing record level data, please email dataforgood@fb.com.

XLSX

Movement Range Maps

Data for Good at Meta

55000+ Downloads

Time Period of the Dataset [?]: March 01, 2020-May 22, 2022 ... More

This dataset updates: As needed

NOTE: We plan to no longer update this dataset after May 22 2022. These data sets are intended to inform researchers and public health experts about how populations are responding to physical distancing measures. In particular, there are two metrics, Change in Movement and Stay Put, that provide a slightly different perspective on movement trends. Change in Movement looks at how much people are moving around and compares it with a baseline period that predates most social distancing measures, while Stay Put looks at the fraction of the population that appear to stay within a small area during an entire day. Full details, including the privacy protections in this data, are available here: https://research.fb.com/blog/2020/06/protecting-privacy-in-facebook-mobility-data-during-the-covid-19-response/

TXT
zip

Survey on Gender Equality At Home

Data for Good at Meta

4400+ Downloads

Time Period of the Dataset [?]: September 21, 2020-September 21, 2020 ... More

This dataset updates: As needed

This data contains aggregated weighted statistics at the regional level by gender for the 2020 Survey on Gender Equality At Home as well as the country and regional level for the 2021 wave. The Survey on Gender Equality at Home generates a global snapshot of women and men’s access to resources, their time spent on unpaid care work, and their attitudes about equality. Researchers and nonprofits interested in access to survey microdata can apply at: https://dataforgood.facebook.com/dfg/tools/survey-on-gender-equality-at-home

XLSX

Current IATI aid activities in Suriname

International Aid Transparency Initiative

Time Period of the Dataset [?]: January 01, 2019-August 14, 2024 ... More

This dataset updates: Live

This dataset is part of the data series [?]: IATI - Current IATI aid activities

Live list of active aid activities for Suriname shared via the International Aid Transparency Initiative (IATI). Includes both humanitarian and development activities. More information on each activity (including financial data) is available from http://www.d-portal.org Definitions for the geographical-precision codes are available at https://iatistandard.org/en/iati-standard/203/codelists/geographicalprecision/ Definitions for the geographical-precision codes are available at https://iatistandard.org/en/iati-standard/203/codelists/geographicalprecision/

CSV

Suriname - High Frequency Survey - Q1Q2 2021

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: January 01, 2021-June 30, 2021 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - High Frequency Survey

The data was collected using the High Frequency Survey (HFS), the new regional data collection tool & methodology launched in the Americas. The survey allowed for better reaching populations of interest with new remote modalities (phone interviews and self-administered surveys online) and improved sampling guidance and strategies. It includes a set of standardized regional core questions while allowing for operation-specific customizations. The core questions revolve around populations of interest's demographic profile, difficulties during their journey, specific protection needs, access to documentation & regularization, health access, coverage of basic needs, coping capacity & negative mechanisms used, and well-being & local integration. The data collected has been used by countries in their protection monitoring analysis and vulnerability analysis.

Web App
PDF

Suriname - Population Counts

WorldPop

50+ Downloads

Time Period of the Dataset [?]: January 01, 2000-December 31, 2020 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: World Pop - Population Counts

WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset. Bespoke methods used to produce datasets for specific individual countries are available through the WorldPop Open Population Repository (WOPR) link below. These are 100m resolution gridded population estimates using customized methods ("bottom-up" and/or "top-down") developed for the latest data available from each country. They can also be visualised and explored through the woprVision App. The remaining datasets in the links below are produced using the "top-down" method, with either the unconstrained or constrained top-down disaggregation method used. Please make sure you read the Top-down estimation modelling overview page to decide on which datasets best meet your needs. Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 3 and 30 arc-seconds (approximately 100m and 1km at the equator, respectively): - Unconstrained individual countries 2000-2020 ( 1km resolution ): Consistent 1km resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020. - Unconstrained individual countries 2000-2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020. - Unconstrained individual countries 2000-2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019) -Unconstrained individual countries 2000-2020 UN adjusted ( 1km resolution ): Consistent 1km resolution population count datasets created using unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019). -Unconstrained global mosaics 2000-2020 ( 1km resolution ): Mosaiced 1km resolution versions of the "Unconstrained individual countries 2000-2020" datasets. -Constrained individual countries 2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using constrained top-down methods for all countries of the World for 2020. -Constrained individual countries 2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using constrained top-down methods for all countries of the World for 2020 and adjusted to match United Nations national population estimates (UN 2019). Older datasets produced for specific individual countries and continents, using a set of tailored geospatial inputs and differing "top-down" methods and time periods are still available for download here: Individual countries and Whole Continent. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00645

GeoTIFF

Novel Coronavirus (COVID-19) Cases Data

Johns Hopkins University Center for Systems Science and Engineering

435000+ Downloads

Time Period of the Dataset [?]: January 22, 2020-March 09, 2023 ... More

This dataset updates: As needed

JHU Has Stopped Collecting Data As Of 03/10/2023 After three years of around-the-clock tracking of COVID-19 data from around the world, Johns Hopkins has discontinued the Coronavirus Resource Center’s operations. The site’s two raw data repositories will remain accessible for information collected from 1/22/20 to 3/10/23 on cases, deaths, vaccines, testing and demographics. Novel Corona Virus (COVID-19) epidemiological data since 22 January 2020. The data is compiled by the Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) from various sources including the World Health Organization (WHO), DXY.cn, BNO News, National Health Commission of the People’s Republic of China (NHC), China CDC (CCDC), Hong Kong Department of Health, Macau Government, Taiwan CDC, US CDC, Government of Canada, Australia Government Department of Health, European Centre for Disease Prevention and Control (ECDC), Ministry of Health Singapore (MOH), and others. JHU CCSE maintains the data on the 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository on Github. Fields available in the data include Province/State, Country/Region, Last Update, Confirmed, Suspected, Recovered, Deaths. On 23/03/2020, a new data structure was released. The current resources for the latest time series data are: time_series_covid19_confirmed_global.csv time_series_covid19_deaths_global.csv time_series_covid19_recovered_global.csv ---DEPRECATION WARNING--- The resources below ceased being updated on 22/03/2020 and were removed on 26/03/2020: time_series_19-covid-Confirmed.csv time_series_19-covid-Deaths.csv time_series_19-covid-Recovered.csv

CSV

Suriname - Population Density

WorldPop

40+ Downloads

Time Period of the Dataset [?]: January 01, 2000-December 31, 2020 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: WorldPop - Population Density

WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset. Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 30 arc-seconds (approximately 1km at the equator) -Unconstrained individual countries 2000-2020: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Unconstrained individual countries 2000-2020 population count datasets by dividing the number of people in each pixel by the pixel surface area. These are produced using the unconstrained top-down modelling method. -Unconstrained individual countries 2000-2020 UN adjusted: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Unconstrained individual countries 2000-2020 population UN adjusted count datasets by dividing the number of people in each pixel, adjusted to match the country total from the official United Nations population estimates (UN 2019), by the pixel surface area. These are produced using the unconstrained top-down modelling method. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00674

GeoTIFF

Airports in Suriname

OurAirports

Time Period of the Dataset [?]: January 01, 2008-August 14, 2024 ... More

This dataset updates: Live

This dataset is part of the data series [?]: Our Airports - Airports

List of airports in Suriname, with latitude and longitude. Unverified community data from http://ourairports.com/countries/SR/

CSV

Suriname - Subnational Administrative Boundaries

OCHA Field Information Services Section (FISS)

COD 1100+ Downloads

Time Period of the Dataset [?]: October 24, 2019-August 14, 2024 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: COD - Subnational Administrative Boundaries

Suriname administrative level 0 (country), 1 (district), and 2 (resort) boundaries These boundaries are suitable for database or GIS linkage to the Suriname administrative level 0-2 sex and age disaggregated population statistics tables.

Suriname - Age and sex structures

WorldPop

30+ Downloads

Time Period of the Dataset [?]: January 01, 2000-December 31, 2020 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: WorldPop - Age and sex structures

WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset. A description of the modelling methods used for age and sex structures can be found in Tatem et al and Pezzulo et al. Details of the input population count datasets used can be found here, and age/sex structure proportion datasets here. Both top-down 'unconstrained' and 'constrained' versions of the datasets are available, and the differences between the two methods are outlined here. The datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World structured by male/female and 5-year age classes (plus a <1 year class). These efforts necessarily involved some shortcuts for consistency. The unconstrained datasets are available for each year from 2000 to 2020. The constrained datasets are only available for 2020 at present, given the time periods represented by the building footprint and built settlement datasets used in the mapping. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00646

GeoTIFF

Suriname - Pregnancies

WorldPop

Time Period of the Dataset [?]: January 01, 2017-December 31, 2017 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: WorldPop - Pregnancies

The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of pregnancies to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age, age-specific fertility rates, still births and abortions to map the estimated distributions of pregnancies for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in Tatem et al and James et al.. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2017. Suriname 1km pregnancies. Version 2.0 2015 estimates of numbers of pregnancies per grid square, with national totals adjusted to match national estimates on numbers of pregnancies made by the Guttmacher Institute (http://www.guttmacher.org) DOI: 10.5258/SOTON/WP00471

GeoTIFF

Suriname - Births

WorldPop

Time Period of the Dataset [?]: January 01, 2017-December 31, 2017 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: WorldPop - Births

The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of live births to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age and age-specific fertility rates to map the estimated distributions of births for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in Tatem et al. and James et al.. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2017. Suriname 1km births. Version 2.0 2015 estimates of numbers of live births per grid square, with national totals adjusted to match UN national estimates on numbers of live births (http://esa.un.org/wpp/). DOI: 10.5258/SOTON/WP00363

GeoTIFF