{"geometry": {"type": "MultiPolygon", "coordinates": [[[[126.01749, 9.26583], [126.29109, 8.97416], [126.36256, 7.90386], [126.55887, 7.19944], [126.07666, 6.84361], [125.651520000000119, 7.23458], [125.39861, 6.80305], [125.70276, 6.025], [125.40555, 5.56333], [125.17693, 5.83583], [124.32416, 6.11458], [124.04221, 6.43167], [123.99304, 7.02389], [124.2661, 7.36305], [123.676650000000109, 7.8125], [123.228880000000117, 7.5343], [122.78027, 7.47139], [122.54776, 7.73028], [122.18664, 6.95014], [121.89694, 7.07722], [122.351090000000113, 8.03861], [122.990950000000112, 8.20166], [123.06388, 8.5168], [123.43414, 8.71736], [124.22401, 8.2125], [124.77332, 8.97014], [125.07387, 8.82889], [125.53777, 9.06472], [125.3911, 9.64972], [125.922150000000101, 9.48726], [126.01749, 9.26583 ] ]], [[ [ 124.46721, 10.05833], [124.35721, 9.62361], [123.86123, 9.63528], [124.15249, 10.14805], [124.46721, 10.05833 ] ]], [[ [ 123.35206, 9.41673], [123.374, 9.99069], [123.863880000000108, 10.81278], [124.01999, 10.38701], [123.63651, 10.06986], [123.35206, 9.41673 ] ]], [[ [ 123.20638, 9.98389], [123.296380000000113, 9.22972], [122.541650000000118, 9.48375], [122.45388, 9.97486], [122.85694, 10.09514], [122.95247, 10.89444], [123.56387, 10.79416], [123.20638, 9.98389 ] ]], [[ [ 119.562364574000071, 11.259262386000046], [119.496444594000081, 10.990089133000026], [119.4840200000001, 10.8793], [119.71585, 10.51094], [119.20194, 10.04847], [118.75333, 9.925], [118.73226000000011, 9.65389], [117.99891, 8.87746], [117.45166, 8.5025], [117.34444, 8.72611], [118.02721, 9.25916], [119.34119, 10.7201], [119.419537950000063, 11.028542454000046], [119.419537950000063, 11.303209039000023], [119.562364574000071, 11.259262386000046 ] ]], [[ [ 124.581730000000107, 11.30958], [124.95026, 11.42173], [125.01506, 10.7434], [125.25908, 10.26305], [124.76471, 10.19639], [124.804850000000101, 10.66125], [124.581730000000107, 11.30958 ] ]], [[ [ 122.22943, 11.79778], [122.90692, 11.4318], [123.12359, 11.16569], [122.72916, 10.80083], [121.90984, 10.44458], [122.22943, 11.79778 ] ]], [[ [ 125.17831, 12.56111], [125.50471, 12.205], [125.45027, 11.59027], [125.04207, 11.72791], [124.393600000000106, 12.18833], [124.25776, 12.55111], [125.17831, 12.56111 ] ]], [[ [ 120.72165, 13.47778], [120.96748, 13.52305], [121.50222, 13.14889], [121.5579, 12.60146], [121.12317, 12.245], [120.80172, 12.72493], [120.72165, 13.47778 ] ]], [[ [ 121.25665, 18.56611], [121.9497, 18.26889], [122.2572100000001, 17.36347], [122.53304, 17.10139], [122.309710000000109, 16.56361], [121.37637, 15.315], [121.73553, 14.16847], [122.246940000000109, 13.92305], [122.47331, 14.34055], [123.41776, 13.98222], [123.86844, 13.135], [123.40901, 13.04417], [123.20151, 13.41798], [122.56099, 13.93657], [122.10859, 13.76389], [121.70193, 13.95916], [121.27943, 13.59389], [120.71666, 13.92528], [120.59221, 14.23111], [120.99109, 14.54917], [120.08735, 14.78347], [119.91304, 15.84069], [120.42609, 16.16912], [120.3172, 16.63111], [120.44915, 16.96861], [120.43997, 17.73249], [120.57278, 18.46805], [121.25665, 18.56611]]]]}, "type": "Feature", "properties": {"url": "/group/phl", "name": "Philippines"}, "id": "PHL"}
207
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Time Period of the Dataset [?]: October 21, 2023-April 18, 2024
... More
Modified [?]: 18 April 2024
Dataset Added on HDX [?]: 14 December 2023
This dataset updates: Every day
Conflict and disaster population movement (flows) data for Philippines. The data is the most recent available and covers a 180 day time period.
Internally displaced persons are defined according to the 1998 Guiding Principles (
https://www.internal-displacement.org/publications/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border.
The IDMC's Event data, sourced from the Internal Displacement Updates (IDU), offers initial assessments of internal displacements reported within the last 180 days. This dataset provides provisional information that is continually updated on a daily basis, reflecting the availability of data on new displacements arising from conflicts and disasters. The finalized, carefully curated, and validated estimates are then made accessible through the Global Internal Displacement Database (GIDD), accessible at
https://www.internal-displacement.org/database/displacement-data. The IDU dataset comprises preliminary estimates aggregated from various publishers or sources.
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Time Period of the Dataset [?]: April 18, 2024-April 18, 2024
... More
Modified [?]: 18 April 2024
Dataset Added on HDX [?]: 21 July 2017
This dataset updates: Every day
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.
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700+ Downloads
Time Period of the Dataset [?]: January 01, 2016-April 12, 2024
... More
Modified [?]: 17 April 2024
Dataset Added on HDX [?]: 15 December 2021
This dataset updates: Every week
A weekly dataset providing the total number of reported political violence, civilian-targeting, and demonstration events in Philippines. Note: These are aggregated data files organized by country-year and country-month. To access full event data, please register to use the Data Export Tool and API on the ACLED website.
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200+ Downloads
Time Period of the Dataset [?]: December 01, 2022-April 18, 2024
... More
Modified [?]: 16 April 2024
Dataset Added on HDX [?]: 19 April 2022
This dataset updates: Every week
The Food and Agriculture Organization of the United Nations (FAO) has developed a monitoring system in 26 food crisis countries to better understand the impacts of various shocks on agricultural livelihoods, food security and local value chains.
The Monitoring System consists of primary data collected from households and key informants (including agricultural inputs vendors, food traders and agriculture extension officers) on a periodic basis (more or less every four months, depending on seasonality). Data are collected through Computer-Assisted Telephone Interviews (CATI) and in-person surveys where the circumstances allow for field access.
As the system is developed, the information collected and analyzed is being used to guide strategic decisions, to design programmes and to inform analytical processes such as the Integrated Phase Classification (IPC) and the Humanitarian Needs Overview (HNO).
At the core of the system is a standardized household questionnaire administered to around 100,000 households per year across the 26 countries. Standardization permits comparisons across time and space, considerably enhancing the utility of the data for decision makers. At minimum the household data are representative at Admin 1 level (e.g. province, or region) and in some cases at Admin 2 level (e.g. district).
Core funding for this initiative comes from the United States Agency for International Development (USAID). The initiative also benefits from support from the European Union and FAOโs Special Fund for Emergency and Rehabilitation (SFERA). The contents of the work are the sole responsibility of FAO and do not necessarily reflect the views of USAID, the United States Government or the European Union.
In each aggregated field, the values indicate the frequencies of the different responses, expressed as a weighted percentage of the total sample.
The present datasets represents aggregated data referring to household interviews performed after December 2022. At every new survey data release, after cleaning and validation phases, aggregated data is appended to the present dataset.
For real-time updates, for accessing archived data and for additional survey-specific information, please visit the DIEM Hub:
https://data-in-emergencies.fao.org/
View the column descriptions here.
Metadata available here.
Questionnaires used for data collection available here.
Reference administrative boundaries (levels 0, 1 and 2) available here.
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Time Period of the Dataset [?]: January 01, 1990-December 31, 2021
... More
Modified [?]: 15 April 2024
Dataset Added on HDX [?]: 27 July 2017
This dataset updates: Every month
Contains data from World Health Organization's data portal covering the following categories:
Mortality and global health estimates, Sustainable development goals, Millennium Development Goals (MDGs), Health systems, Malaria, Tuberculosis, Child health, Infectious diseases, Neglected tropical diseases, TOBACCO, Nutrition, World Health Statistics, Health financing, Substance use and mental health, Injuries and violence, HIV/AIDS and other STIs, Public health and environment, Urban health, Child mortality, Noncommunicable diseases, Noncommunicable diseases CCS, Infrastructure, Essential health technologies, Medical equipment, Demographic and socioeconomic statistics, Health inequality monitor, Health Equity Monitor, Child malnutrition, Organ transplants, Tobacco raise taxes, Electromagnetic fields, International Health Regulations (2005) monitoring framework, Postnatal care, Insecticide resistance, Substance abuse, Lead paint, Neglected Tropical Diseases, ORALHEALTH, Universal Health Coverage, Adolescent mortality, Maternal, newborn, child and adolescent healthand ageing, Education, UNICEF indicators, Financial Protection, Maternal and reproductive health, Research and Development, Country policy, SDG targets, Global Observatory for eHealth (GOe), Antimicrobial Surveillance, RSUD: GOVERNANCE, POLICY AND FINANCING : PREVENTION, RSUD: GOVERNANCE, POLICY AND FINANCING: TREATMENT, RSUD: GOVERNANCE, POLICY AND FINANCING: FINANCING, RSUD: SERVICE ORGANIZATION AND DELIVERY: TREATMENT SECTORS AND PROVIDERS, RSUD: SERVICE ORGANIZATION AND DELIVERY: TREATMENT CAPACITY AND TREATMENT COVERAGE, RSUD: SERVICE ORGANIZATION AND DELIVERY: PHARMACOLOGICAL TREATMENT, RSUD: SERVICE ORGANIZATION AND DELIVERY: SCREENING AND BRIEF INTERVENTIONS, RSUD: SERVICE ORGANIZATION AND DELIVERY: PREVENTION PROGRAMS AND PROVIDERS, RSUD: SERVICE ORGANIZATION AND DELIVERY: SPECIAL PROGRAMMES AND SERVICES, RSUD: HUMAN RESOURCES, RSUD: INFORMATION SYSTEMS, RSUD: YOUTH, FINANCIAL PROTECTION, FINANCIAL PROTECTION - IMPOVERISHMENT, Dementia, Health Expenditure, AMR GLASS, Noncommunicable diseases and mental health, Risk factors: Radon, Health workforce, International Health Regulations, AMR GASP, ICD, SEXUAL AND REPRODUCTIVE HEALTH, Family Planning, Immunization, Air pollution, Nutrition Landscape Information System, NLIS, Care Seek, Assistive Technology, Health policy, Hemoglobin level, Foodborne Diseases, Hazards impact on health, WASH, AMC GLASS, Electrification of health care facilities, Medical Devices, Prison data, Climate Change Survey, Child Mortality
For links to individual indicator metadata, see resource descriptions.
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Time Period of the Dataset [?]: July 01, 2002-April 10, 2024
... More
Modified [?]: 14 April 2024
Dataset Added on HDX [?]: 13 December 2022
This dataset updates: Every two weeks
This dataset contains dekadal NDVI indicators computed from NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) collection 6.1 from the Aqua and Terra satellite aggregated by sub-national administrative units.
Included indicators are (for each dekad):
10 day NDVI (vim)
NDVI long term average (vim_lta)
10 day NDVI anomaly [%] (viq)
The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn.
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Time Period of the Dataset [?]: January 01, 1981-April 10, 2024
... More
Modified [?]: 14 April 2024
Dataset Added on HDX [?]: 13 December 2022
This dataset updates: Every two weeks
This dataset contains dekadal rainfall indicators computed from Climate Hazards Group InfraRed Precipitation satellite imagery with insitu Station data (CHIRPS) version 2, aggregated by subnational administrative units.
Included indicators are (for each dekad):
10 day rainfall [mm] (rfh)
rainfall 1-month rolling aggregation [mm] (r1h)
rainfall 3-month rolling aggregation [mm] (r3h)
rainfall long term average [mm] (rfh_avg)
rainfall 1-month rolling aggregation long term average [mm] (r1h_avg)
rainfall 3-month rolling aggregation long term average [mm] (r3h_avg)
rainfall anomaly [%] (rfq)
rainfall 1-month anomaly [%] (r1q)
rainfall 3-month anomaly [%] (r3q)
The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn.
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Time Period of the Dataset [?]: January 01, 2000-December 31, 2022
... More
Modified [?]: 14 April 2024
Dataset Added on HDX [?]: 10 March 2019
This dataset updates: Every year
Food Security and Nutrition Indicators for Philippines.
Contains data from the FAOSTAT bulk data service.
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Time Period of the Dataset [?]: January 01, 1991-December 31, 2022
... More
Modified [?]: 14 April 2024
Dataset Added on HDX [?]: 4 May 2020
This dataset updates: Every year
Food Prices for Philippines.
Contains data from the FAOSTAT bulk data service covering the following categories: Consumer Price Indices, Deflators, Exchange rates, Producer Prices
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Time Period of the Dataset [?]: January 15, 2000-February 15, 2024
... More
Modified [?]: 14 April 2024
Dataset Added on HDX [?]: 26 September 2018
This dataset updates: Every month
This dataset contains Food Prices data for Philippines, sourced from the World Food Programme Price Database. The World Food Programme Price Database covers foods such as maize, rice, beans, fish, and sugar for 98 countries and some 3000 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.
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22000+ Downloads
Time Period of the Dataset [?]: January 18, 2020-January 11, 2024
... More
Modified [?]: 13 April 2024
Dataset Added on HDX [?]: 23 March 2020
This dataset updates: Every week
'Our World in Data' is compiling COVID-19 testing data over time for many countries around the world. They are adding further data in the coming days as more details become available for other countries. In some cases figures refer to the number of tests, in other cases to the number of individuals who have been tested. Refer to documentation provided here.
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Time Period of the Dataset [?]: August 18, 2015-March 06, 2024
... More
Modified [?]: 12 April 2024
Dataset Added on HDX [?]: 12 April 2024
This dataset updates: Every year
This dataset contains administrative polygons grouped by country (admin-0) with the following subdivisions according to Who's On First placetypes:
- macroregion (admin-1 including region)
- region (admin-2 including state, province, department, governorate)
- macrocounty (admin-3 including arrondissement)
- county (admin-4 including prefecture, sub-prefecture, regency, canton, commune)
- localadmin (admin-5 including municipality, local government area, unitary authority, commune, suburb)
The dataset also contains human settlement points and polygons for:
- localities (city, town, and village)
- neighbourhoods (borough, macrohood, neighbourhood, microhood)
The dataset covers activities carried out by Who's On First (WOF) since 2015. Global administrative boundaries and human settlements are aggregated and standardized from hundreds of sources and available with an open CC-BY license. Who's On First data is updated on an as-need basis for individual places with annual sprints focused on improving specific countries or placetypes. Please refer to the README.md file for complete data source metadata. Refer to our blog post for explanation of field names.
Data corrections can be proposed using Write Field, an web app for making quick data edits. Youโll need a
Github.com account to login and propose edits, which are then reviewed by the Who's On First community using the Github pull request process. Approved changes are available for download within 24-hours. Please contact WOF admin about bulk edits.
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600+ Downloads
Time Period of the Dataset [?]: December 01, 2022-April 18, 2024
... More
Modified [?]: 10 April 2024
Dataset Added on HDX [?]: 11 January 2024
This dataset updates: Every month
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Time Period of the Dataset [?]: September 02, 2021-December 05, 2022
... More
Modified [?]: 10 April 2024
Dataset Added on HDX [?]: 7 November 2022
This dataset updates: Every month
InterAction is an alliance of international NGOs, all working to make the world a more peaceful, just, and prosperous place. NGO Aid Map highlights the work of InterAction Member NGOs around the globe.
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40+ Downloads
Time Period of the Dataset [?]: April 05, 2024-April 05, 2024
... More
Modified [?]: 5 April 2024
Dataset Added on HDX [?]: 23 January 2024
This dataset updates: Every month
OpenStreetMap contains roughly 11.2 million buildings in this region. Based on AI-mapped estimates, this is approximately 55% of the total buildings.The average age of data for this region is 2 years ( Last edited 2 days ago ) and 2% buildings were added or updated in the last 6 months.
Read about what this summary means : indicators , metrics
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) :
tags['building'] IS NOT NULL
Features may have these attributes:
name
name:en
building
building:levels
building:materials
addr:full
addr:housenumber
addr:street
addr:city
office
source
name:fil
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
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100+ Downloads
Time Period of the Dataset [?]: April 05, 2024-April 05, 2024
... More
Modified [?]: 5 April 2024
Dataset Added on HDX [?]: 23 January 2024
This dataset updates: Every month
OpenStreetMap contains roughly 428.6 thousand km of roads in this region. Based on AI-mapped estimates, this is approximately 80 % of the total road length in the dataset region. The average age of data for the region is 2 years ( Last edited 2 days ago ) and 7% of roads were added or updated in the last 6 months.
Read about what this summary means : indicators , metrics
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) :
tags['highway'] IS NOT NULL
Features may have these attributes:
name
name:en
highway
surface
smoothness
width
lanes
oneway
bridge
layer
source
name:fil
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
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20+ Downloads
Time Period of the Dataset [?]: April 05, 2024-April 05, 2024
... More
Modified [?]: 5 April 2024
Dataset Added on HDX [?]: 23 January 2024
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) :
tags['amenity'] IN ('kindergarten', 'school', 'college', 'university') OR tags['building'] IN ('kindergarten', 'school', 'college', 'university')
Features may have these attributes:
name
name:en
amenity
building
operator:type
capacity:persons
addr:full
addr:city
source
name:fil
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
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40+ Downloads
Time Period of the Dataset [?]: April 05, 2024-April 05, 2024
... More
Modified [?]: 5 April 2024
Dataset Added on HDX [?]: 23 January 2024
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) :
tags['amenity'] = 'ferry_terminal' OR tags['building'] = 'ferry_terminal' OR tags['port'] IS NOT NULL
Features may have these attributes:
name
name:en
amenity
building
port
operator:type
addr:full
addr:city
source
name:fil
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
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Time Period of the Dataset [?]: April 05, 2024-April 05, 2024
... More
Modified [?]: 5 April 2024
Dataset Added on HDX [?]: 23 January 2024
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) :
tags['amenity'] IN ('mobile_money_agent','bureau_de_change','bank','microfinance','atm','sacco','money_transfer','post_office')
Features may have these attributes:
name
name:en
amenity
operator
network
addr:full
addr:city
source
name:fil
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
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40+ Downloads
Time Period of the Dataset [?]: April 05, 2024-April 05, 2024
... More
Modified [?]: 5 April 2024
Dataset Added on HDX [?]: 23 January 2024
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) :
tags['healthcare'] IS NOT NULL OR tags['amenity'] IN ('doctors', 'dentist', 'clinic', 'hospital', 'pharmacy')
Features may have these attributes:
name
name:en
amenity
building
healthcare
healthcare:speciality
operator:type
capacity:persons
addr:full
addr:city
source
name:fil
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
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40+ Downloads
Time Period of the Dataset [?]: April 05, 2024-April 05, 2024
... More
Modified [?]: 5 April 2024
Dataset Added on HDX [?]: 23 January 2024
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) :
tags['railway'] IN ('rail','station')
Features may have these attributes:
name
name:en
railway
ele
operator:type
layer
addr:full
addr:city
source
name:fil
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
-
10+ Downloads
Time Period of the Dataset [?]: April 05, 2024-April 05, 2024
... More
Modified [?]: 5 April 2024
Dataset Added on HDX [?]: 23 January 2024
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) :
tags['amenity'] IS NOT NULL OR tags['man_made'] IS NOT NULL OR tags['shop'] IS NOT NULL OR tags['tourism'] IS NOT NULL
Features may have these attributes:
name
name:en
amenity
man_made
shop
tourism
opening_hours
beds
rooms
addr:full
addr:housenumber
addr:street
addr:city
source
name:fil
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
-
50+ Downloads
Time Period of the Dataset [?]: April 05, 2024-April 05, 2024
... More
Modified [?]: 5 April 2024
Dataset Added on HDX [?]: 23 January 2024
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) :
tags['aeroway'] IS NOT NULL OR tags['building'] = 'aerodrome' OR tags['emergency:helipad'] IS NOT NULL OR tags['emergency'] = 'landing_site'
Features may have these attributes:
name
name:en
aeroway
building
emergency
emergency:helipad
operator:type
capacity:persons
addr:full
addr:city
source
name:fil
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
-
20+ Downloads
Time Period of the Dataset [?]: April 05, 2024-April 05, 2024
... More
Modified [?]: 5 April 2024
Dataset Added on HDX [?]: 23 January 2024
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) :
tags['place'] IN ('isolated_dwelling', 'town', 'village', 'hamlet', 'city')
Features may have these attributes:
name
name:en
place
population
is_in
source
name:fil
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
-
90+ Downloads
Time Period of the Dataset [?]: April 05, 2024-April 05, 2024
... More
Modified [?]: 5 April 2024
Dataset Added on HDX [?]: 23 January 2024
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) :
tags['waterway'] IS NOT NULL OR tags['water'] IS NOT NULL OR tags['natural'] IN ('water','wetland','bay')
Features may have these attributes:
name
name:en
waterway
covered
width
depth
layer
blockage
tunnel
natural
water
source
name:fil
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.