📊 Living Planet Report 2024 #3336
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data-diff: ❌ Found differences~ Dataset garden/biodiversity/2024-09-30/living_planet_index (new version)
- - title: Living Planet Index – WWF (2022)
? -------------
+ + title: Living Planet Index
- - description: ''
- - sources:
- - - name: Living Planet Report (2022). World Wildlife Fund (WWF) and Zoological Society of London.
- - description: |-
? ----
+ + description: |-
- - The Living Planet Index (LPI) is a measure of the state of global biological diversity based on population trends of vertebrate species from around the world. The index represents 31,821 populations of 5,230 species. All indices are weighted by species richness, giving species-rich taxonomic groups in terrestrial, marine and freshwater systems more weight than groups with fewer species. Using a method developed by ZSL and WWF, these species population trends are aggregated to produce indices of the state of biodiversity.
? ---- ^ ^^^^^^^^^^^^^^^^^ ^^^
+ + The Living Planet Index (LPI) is a measure of the state of global biological diversity based on population trends of vertebrate species from around the world. The index represents 34,836 populations of 5,495 species. All indices are weighted by species richness, giving species-rich taxonomic groups in terrestrial, marine and freshwater systems more weight than groups with fewer species. Using a method developed by ZSL and WWF, these species population trends are aggregated to produce indices of the state of biodiversity.
? ^ ^^^^^^^^^^^^^^^^^ ^^^
- - The index value is measured relative to species' populations in 1970 (i.e. 1970 = 1).
? ----
+ + The index value is measured relative to species' populations in 1970 (i.e. 1970 = 1).
- - To calculate an LPI, a generalised additive modelling framework is used to determine the underlying trend in each population time-series. Average rates of change are then calculated and aggregated to the species level. For the global LPI, the method of aggregation has recently been revised to include a weighting system which gives trends from more species-rich systems, realms and groups more weight in the final index.
? ----
+ + To calculate an LPI, a generalised additive modelling framework is used to determine the underlying trend in each population time-series. Average rates of change are then calculated and aggregated to the species level. For the global LPI, the method of aggregation has recently been revised to include a weighting system which gives trends from more species-rich systems, realms and groups more weight in the final index.
- - url: http://stats.livingplanetindex.org/
- - date_accessed: '2023-09-01'
- - published_by: |-
- - World Wildlife Fund (WWF) and Zoological Society of London (2022). Living Planet Report 2022 – Building a nature-positive society. Almond, R.E.A., Grooten, M., Juffe Bignoli, D. & Petersen, T. (Eds). WWF, Gland, Switzerland.
- - version: '2022'
? ^
+ + version: '2024-09-30'
? ^^^^^^^
+ + update_period_days: 730
~ Table living_planet_index (changed metadata)
- - title: Living Planet Index – WWF (2022)
? -------------
+ + title: Living Planet Index
- - description: ''
? ^^
+ + description: |-
? ^^
+ + The Living Planet Index (LPI) is a measure of the state of global biological diversity based on population trends of vertebrate species from around the world. The index represents 34,836 populations of 5,495 species. All indices are weighted by species richness, giving species-rich taxonomic groups in terrestrial, marine and freshwater systems more weight than groups with fewer species. Using a method developed by ZSL and WWF, these species population trends are aggregated to produce indices of the state of biodiversity.
+ +
+ + The index value is measured relative to species' populations in 1970 (i.e. 1970 = 1).
+ +
+ + To calculate an LPI, a generalised additive modelling framework is used to determine the underlying trend in each population time-series. Average rates of change are then calculated and aggregated to the species level. For the global LPI, the method of aggregation has recently been revised to include a weighting system which gives trends from more species-rich systems, realms and groups more weight in the final index.
~ Dim country
+ + New values: 15 / 357 (4.20%)
year country
2019 Africa
2020 Europe and Central Asia
2020 Freshwater
2019 Latin America and the Caribbean
2020 World
~ Dim year
+ + New values: 15 / 357 (4.20%)
country year
Africa 2019
Europe and Central Asia 2020
Freshwater 2020
Latin America and the Caribbean 2019
World 2020
~ Column ci_high (changed metadata, new data, changed data)
- - {}
+ + title: Upper confidence interval of Living Planet Index
+ + origins:
+ + - producer: World Wildlife Fund and Zoological Society of London
+ + title: Living Planet Index
+ + description: |-
+ + The Living Planet Index (LPI) is a measure of the state of global biological diversity based on population trends of vertebrate species from around the world. The index represents 34,836 populations of 5,495 species. All indices are weighted by species richness, giving species-rich taxonomic groups in terrestrial, marine and freshwater systems more weight than groups with fewer species. Using a method developed by ZSL and WWF, these species population trends are aggregated to produce indices of the state of biodiversity.
+ +
+ + The index value is measured relative to species' populations in 1970 (i.e. 1970 = 1).
+ +
+ + To calculate an LPI, a generalised additive modelling framework is used to determine the underlying trend in each population time-series. Average rates of change are then calculated and aggregated to the species level. For the global LPI, the method of aggregation has recently been revised to include a weighting system which gives trends from more species-rich systems, realms and groups more weight in the final index.
+ + citation_full: WWF (2024) Living Planet Report 2024 – A System in Peril. WWF, Gland, Switzerland.
+ + attribution_short: WWF & ZSL
+ + url_main: http://stats.livingplanetindex.org/
+ + date_accessed: '2024-09-30'
+ + date_published: '2024-10-10'
+ + license:
+ + name: CC BY 4.0
+ + unit: (1970 = 1)
+ + presentation:
+ + topic_tags:
+ + - Biodiversity
+ + New values: 15 / 357 (4.20%)
country year ci_high
Africa 2019 0.526404
Europe and Central Asia 2020 0.903720
Freshwater 2020 0.225841
Latin America and the Caribbean 2019 0.106941
World 2020 0.332764
~ Changed values: 342 / 357 (95.80%)
country year ci_high - ci_high +
Africa 1976 NaN 1.055776
Asia and Pacific 2014 NaN 0.693696
Europe and Central Asia 2005 NaN 1.078106
North America 2005 NaN 0.987581
North America 2006 NaN 0.990331
~ Column ci_low (changed metadata, new data, changed data)
- - {}
+ + title: Lower confidence interval of Living Planet Index
+ + origins:
+ + - producer: World Wildlife Fund and Zoological Society of London
+ + title: Living Planet Index
+ + description: |-
+ + The Living Planet Index (LPI) is a measure of the state of global biological diversity based on population trends of vertebrate species from around the world. The index represents 34,836 populations of 5,495 species. All indices are weighted by species richness, giving species-rich taxonomic groups in terrestrial, marine and freshwater systems more weight than groups with fewer species. Using a method developed by ZSL and WWF, these species population trends are aggregated to produce indices of the state of biodiversity.
+ +
+ + The index value is measured relative to species' populations in 1970 (i.e. 1970 = 1).
+ +
+ + To calculate an LPI, a generalised additive modelling framework is used to determine the underlying trend in each population time-series. Average rates of change are then calculated and aggregated to the species level. For the global LPI, the method of aggregation has recently been revised to include a weighting system which gives trends from more species-rich systems, realms and groups more weight in the final index.
+ + citation_full: WWF (2024) Living Planet Report 2024 – A System in Peril. WWF, Gland, Switzerland.
+ + attribution_short: WWF & ZSL
+ + url_main: http://stats.livingplanetindex.org/
+ + date_accessed: '2024-09-30'
+ + date_published: '2024-10-10'
+ + license:
+ + name: CC BY 4.0
+ + unit: (1970 = 1)
+ + presentation:
+ + topic_tags:
+ + - Biodiversity
+ + New values: 15 / 357 (4.20%)
country year ci_low
Africa 2019 0.115887
Europe and Central Asia 2020 0.467521
Freshwater 2020 0.097944
Latin America and the Caribbean 2019 0.030586
World 2020 0.219725
~ Changed values: 342 / 357 (95.80%)
country year ci_low - ci_low +
Africa 1976 NaN 0.512153
Asia and Pacific 2014 NaN 0.296579
Europe and Central Asia 2005 NaN 0.726600
North America 2005 NaN 0.555264
North America 2006 NaN 0.551205
~ Column living_planet_index_average (changed metadata, new data, changed data)
+ + {}
- - title: Living Planet Index
- - description: |-
- - The Living Planet Index (LPI) is a measure of the state of global biological diversity based on population trends of vertebrate species from around the world. The index value is measured relative to species' populations in 1970 (i.e. 1970 = 1).
- - unit: (1970 = 1)
- - sources:
- - - name: Living Planet Report (2022). World Wildlife Fund (WWF) and Zoological Society of London.
- - description: |-
- - The Living Planet Index (LPI) is a measure of the state of global biological diversity based on population trends of vertebrate species from around the world. The index represents 31,821 populations of 5,230 species. All indices are weighted by species richness, giving species-rich taxonomic groups in terrestrial, marine and freshwater systems more weight than groups with fewer species. Using a method developed by ZSL and WWF, these species population trends are aggregated to produce indices of the state of biodiversity.
- -
- - The index value is measured relative to species' populations in 1970 (i.e. 1970 = 1).
- -
- - To calculate an LPI, a generalised additive modelling framework is used to determine the underlying trend in each population time-series. Average rates of change are then calculated and aggregated to the species level. For the global LPI, the method of aggregation has recently been revised to include a weighting system which gives trends from more species-rich systems, realms and groups more weight in the final index.
- - url: http://stats.livingplanetindex.org/
- - published_by: |-
- - World Wildlife Fund (WWF) and Zoological Society of London (2022). Living Planet Report 2022 – Building a nature-positive society. Almond, R.E.A., Grooten, M., Juffe Bignoli, D. & Petersen, T. (Eds). WWF, Gland, Switzerland.
+ + New values: 15 / 357 (4.20%)
country year living_planet_index_average
Africa 2019 NaN
Europe and Central Asia 2020 NaN
Freshwater 2020 NaN
Latin America and the Caribbean 2019 NaN
World 2020 NaN
~ Changed values: 342 / 357 (95.80%)
country year living_planet_index_average - living_planet_index_average +
Africa 1976 0.924302 NaN
Asia and Pacific 2014 0.459181 NaN
Europe and Central Asia 2005 1.054473 NaN
North America 2005 0.736880 NaN
North America 2006 0.736199 NaN
~ Column living_planet_index_lower (changed metadata, new data, changed data)
+ + {}
- - title: Lower CI
- - unit: (1970 = 1)
- - sources:
- - - name: Living Planet Report (2022). World Wildlife Fund (WWF) and Zoological Society of London.
- - description: |-
- - The Living Planet Index (LPI) is a measure of the state of global biological diversity based on population trends of vertebrate species from around the world. The index represents 31,821 populations of 5,230 species. All indices are weighted by species richness, giving species-rich taxonomic groups in terrestrial, marine and freshwater systems more weight than groups with fewer species. Using a method developed by ZSL and WWF, these species population trends are aggregated to produce indices of the state of biodiversity.
- -
- - The index value is measured relative to species' populations in 1970 (i.e. 1970 = 1).
- -
- - To calculate an LPI, a generalised additive modelling framework is used to determine the underlying trend in each population time-series. Average rates of change are then calculated and aggregated to the species level. For the global LPI, the method of aggregation has recently been revised to include a weighting system which gives trends from more species-rich systems, realms and groups more weight in the final index.
- - url: http://stats.livingplanetindex.org/
- - published_by: |-
- - World Wildlife Fund (WWF) and Zoological Society of London (2022). Living Planet Report 2022 – Building a nature-positive society. Almond, R.E.A., Grooten, M., Juffe Bignoli, D. & Petersen, T. (Eds). WWF, Gland, Switzerland.
+ + New values: 15 / 357 (4.20%)
country year living_planet_index_lower
Africa 2019 NaN
Europe and Central Asia 2020 NaN
Freshwater 2020 NaN
Latin America and the Caribbean 2019 NaN
World 2020 NaN
~ Changed values: 342 / 357 (95.80%)
country year living_planet_index_lower - living_planet_index_lower +
Africa 1976 0.618370 NaN
Asia and Pacific 2014 0.284239 NaN
Europe and Central Asia 2005 0.868348 NaN
North America 2005 0.552509 NaN
North America 2006 0.549901 NaN
~ Column living_planet_index_upper (changed metadata, new data, changed data)
+ + {}
- - title: Upper CI
- - unit: (1970 = 1)
- - sources:
- - - name: Living Planet Report (2022). World Wildlife Fund (WWF) and Zoological Society of London.
- - description: |-
- - The Living Planet Index (LPI) is a measure of the state of global biological diversity based on population trends of vertebrate species from around the world. The index represents 31,821 populations of 5,230 species. All indices are weighted by species richness, giving species-rich taxonomic groups in terrestrial, marine and freshwater systems more weight than groups with fewer species. Using a method developed by ZSL and WWF, these species population trends are aggregated to produce indices of the state of biodiversity.
- -
- - The index value is measured relative to species' populations in 1970 (i.e. 1970 = 1).
- -
- - To calculate an LPI, a generalised additive modelling framework is used to determine the underlying trend in each population time-series. Average rates of change are then calculated and aggregated to the species level. For the global LPI, the method of aggregation has recently been revised to include a weighting system which gives trends from more species-rich systems, realms and groups more weight in the final index.
- - url: http://stats.livingplanetindex.org/
- - published_by: |-
- - World Wildlife Fund (WWF) and Zoological Society of London (2022). Living Planet Report 2022 – Building a nature-positive society. Almond, R.E.A., Grooten, M., Juffe Bignoli, D. & Petersen, T. (Eds). WWF, Gland, Switzerland.
+ + New values: 15 / 357 (4.20%)
country year living_planet_index_upper
Africa 2019 NaN
Europe and Central Asia 2020 NaN
Freshwater 2020 NaN
Latin America and the Caribbean 2019 NaN
World 2020 NaN
~ Changed values: 342 / 357 (95.80%)
country year living_planet_index_upper - living_planet_index_upper +
Africa 1976 1.348480 NaN
Asia and Pacific 2014 0.737065 NaN
Europe and Central Asia 2005 1.283443 NaN
North America 2005 0.987108 NaN
North America 2006 0.990665 NaN
~ Column lpi_final (changed metadata, new data, changed data)
- - {}
+ + title: Living Planet Index
+ + description_short: |-
+ + The Living Planet Index (LPI) is a measure of the state of global biological diversity based on population trends of vertebrate species from around the world. The index value is measured relative to species' populations in 1970 (i.e. 1970 = 1).
+ + origins:
+ + - producer: World Wildlife Fund and Zoological Society of London
+ + title: Living Planet Index
+ + description: |-
+ + The Living Planet Index (LPI) is a measure of the state of global biological diversity based on population trends of vertebrate species from around the world. The index represents 34,836 populations of 5,495 species. All indices are weighted by species richness, giving species-rich taxonomic groups in terrestrial, marine and freshwater systems more weight than groups with fewer species. Using a method developed by ZSL and WWF, these species population trends are aggregated to produce indices of the state of biodiversity.
+ +
+ + The index value is measured relative to species' populations in 1970 (i.e. 1970 = 1).
+ +
+ + To calculate an LPI, a generalised additive modelling framework is used to determine the underlying trend in each population time-series. Average rates of change are then calculated and aggregated to the species level. For the global LPI, the method of aggregation has recently been revised to include a weighting system which gives trends from more species-rich systems, realms and groups more weight in the final index.
+ + citation_full: WWF (2024) Living Planet Report 2024 – A System in Peril. WWF, Gland, Switzerland.
+ + attribution_short: WWF & ZSL
+ + url_main: http://stats.livingplanetindex.org/
+ + date_accessed: '2024-09-30'
+ + date_published: '2024-10-10'
+ + license:
+ + name: CC BY 4.0
+ + unit: (1970 = 1)
+ + presentation:
+ + topic_tags:
+ + - Biodiversity
+ + New values: 15 / 357 (4.20%)
country year lpi_final
Africa 2019 0.246320
Europe and Central Asia 2020 0.647150
Freshwater 2020 0.147831
Latin America and the Caribbean 2019 0.057099
World 2020 0.271341
~ Changed values: 342 / 357 (95.80%)
country year lpi_final - lpi_final +
Africa 1976 NaN 0.736813
Asia and Pacific 2014 NaN 0.450257
Europe and Central Asia 2005 NaN 0.885537
North America 2005 NaN 0.738430
North America 2006 NaN 0.736412
+ Dataset garden/biodiversity/2024-09-30/living_planet_index_completeness
+ + Table living_planet_index_completeness
+ + Column species_in_lpi
+ + Column species_not_in_lpi
+ + Column species_total
+ Dataset garden/biodiversity/2024-09-30/living_planet_index_share
+ + Table living_planet_index_share
+ + Column share_increasing
+ + Column share_decreasing
+ + Column share_stable
+ + Column share_strong_increase
+ + Column share_moderate_increase
+ + Column share_little_change
+ + Column share_moderate_decrease
+ + Column share_strong_decrease
= Dataset garden/oecd/2024-08-21/official_development_assistance
= Table dac2a
~ Dim country
+ + New values: 3860 / 490996 (0.79%)
year donor country
1972 G7 countries (OECD) Countries not classified by income (OECD)
1979 Australia Countries not classified by income (OECD)
1982 New Zealand Countries not classified by income (OECD)
1987 WFP Countries not classified by income (OECD)
2016 World Tourism Organization (UNWTO) Countries not classified by income (OECD)
- - Removed values: 3860 / 490996 (0.79%)
year donor country
1972 G7 countries (OECD) Recipients not classified by income group (OECD)
1979 Australia Recipients not classified by income group (OECD)
1982 New Zealand Recipients not classified by income group (OECD)
1987 WFP Recipients not classified by income group (OECD)
2016 World Tourism Organization (UNWTO) Recipients not classified by income group (OECD)
~ Dim year
+ + New values: 3860 / 490996 (0.79%)
country donor year
Countries not classified by income (OECD) G7 countries (OECD) 1972
Countries not classified by income (OECD) Australia 1979
Countries not classified by income (OECD) New Zealand 1982
Countries not classified by income (OECD) WFP 1987
Countries not classified by income (OECD) World Tourism Organization (UNWTO) 2016
- - Removed values: 3860 / 490996 (0.79%)
country donor year
Recipients not classified by income group (OECD) G7 countries (OECD) 1972
Recipients not classified by income group (OECD) Australia 1979
Recipients not classified by income group (OECD) New Zealand 1982
Recipients not classified by income group (OECD) WFP 1987
Recipients not classified by income group (OECD) World Tourism Organization (UNWTO) 2016
~ Dim donor
+ + New values: 3860 / 490996 (0.79%)
country year donor
Countries not classified by income (OECD) 1972 G7 countries (OECD)
Countries not classified by income (OECD) 1979 Australia
Countries not classified by income (OECD) 1982 New Zealand
Countries not classified by income (OECD) 1987 WFP
Countries not classified by income (OECD) 2016 World Tourism Organization (UNWTO)
- - Removed values: 3860 / 490996 (0.79%)
country year donor
Recipients not classified by income group (OECD) 1972 G7 countries (OECD)
Recipients not classified by income group (OECD) 1979 Australia
Recipients not classified by income group (OECD) 1982 New Zealand
Recipients not classified by income group (OECD) 1987 WFP
Recipients not classified by income group (OECD) 2016 World Tourism Organization (UNWTO)
~ Column capital_subscriptions_deposits (new data)
+ + New values: 3860 / 490996 (0.79%)
country year donor capital_subscriptions_deposits
Countries not classified by income (OECD) 1972 G7 countries (OECD) NaN
Countries not classified by income (OECD) 1979 Australia NaN
Countries not classified by income (OECD) 1982 New Zealand NaN
Countries not classified by income (OECD) 1987 WFP NaN
Countries not classified by income (OECD) 2016 World Tourism Organization (UNWTO) NaN
- - Removed values: 3860 / 490996 (0.79%)
country year donor capital_subscriptions_deposits
Recipients not classified by income group (OECD) 1972 G7 countries (OECD) NaN
Recipients not classified by income group (OECD) 1979 Australia NaN
Recipients not classified by income group (OECD) 1982 New Zealand NaN
Recipients not classified by income group (OECD) 1987 WFP NaN
Recipients not classified by income group (OECD) 2016 World Tourism Organization (UNWTO) NaN
~ Column development_food_aid (new data, changed data)
+ + New values: 3860 / 490996 (0.79%)
country year donor development_food_aid
Countries not classified by income (OECD) 1972 G7 countries (OECD) NaN
Countries not classified by income (OECD) 1979 Australia 9960000.0
Countries not classified by income (OECD) 1982 New Zealand NaN
Countries not classified by income (OECD) 1987 WFP NaN
Countries not classified by income (OECD) 2016 World Tourism Organization (UNWTO) NaN
- - Removed values: 3860 / 490996 (0.79%)
country year donor development_food_aid
Recipients not classified by income group (OECD) 1972 G7 countries (OECD) NaN
Recipients not classified by income group (OECD) 1979 Australia 9960000.0
Recipients not classified by income group (OECD) 1982 New Zealand NaN
Recipients not classified by income group (OECD) 1987 WFP NaN
Recipients not classified by income group (OECD) 2016 World Tourism Organization (UNWTO) NaN
~ Column grants (new data, changed data)
+ + New values: 3860 / 490996 (0.79%)
country year donor grants
Countries not classified by income (OECD) 1972 G7 countries (OECD) 4377890304.0
Countries not classified by income (OECD) 1979 Australia 74180000.0
Countries not classified by income (OECD) 1982 New Zealand 48580000.0
Countries not classified by income (OECD) 1987 WFP 5580000.0
Countries not classified by income (OECD) 2016 World Tourism Organization (UNWTO) 14330000.0
- - Removed values: 3860 / 490996 (0.79%)
country year donor grants
Recipients not classified by income group (OECD) 1972 G7 countries (OECD) 4377890304.0
Recipients not classified by income group (OECD) 1979 Australia 74180000.0
Recipients not classified by income group (OECD) 1982 New Zealand 48580000.0
Recipients not classified by income group (OECD) 1987 WFP 5580000.0
Recipients not classified by income group (OECD) 2016 World Tourism Organization (UNWTO) 14330000.0
~ Column humanitarian_aid (new data, changed data)
+ + New values: 3860 / 490996 (0.79%)
country year donor humanitarian_aid
Countries not classified by income (OECD) 1972 G7 countries (OECD) NaN
Countries not classified by income (OECD) 1979 Australia NaN
Countries not classified by income (OECD) 1982 New Zealand NaN
Countries not classified by income (OECD) 1987 WFP NaN
Countries not classified by income (OECD) 2016 World Tourism Organization (UNWTO) NaN
- - Removed values: 3860 / 490996 (0.79%)
country year donor humanitarian_aid
Recipients not classified by income group (OECD) 1972 G7 countries (OECD) NaN
Recipients not classified by income group (OECD) 1979 Australia NaN
Recipients not classified by income group (OECD) 1982 New Zealand NaN
Recipients not classified by income group (OECD) 1987 WFP NaN
Recipients not classified by income group (OECD) 2016 World Tourism Organization (UNWTO) NaN
~ Column loans (new data, changed data)
+ + New values: 3860 / 490996 (0.79%)
country year donor loans
Countries not classified by income (OECD) 1972 G7 countries (OECD) 157270000.0
Countries not classified by income (OECD) 1979 Australia NaN
Countries not classified by income (OECD) 1982 New Zealand NaN
Countries not classified by income (OECD) 1987 WFP NaN
Countries not classified by income (OECD) 2016 World Tourism Organization (UNWTO) NaN
- - Removed values: 3860 / 490996 (0.79%)
country year donor loans
Recipients not classified by income group (OECD) 1972 G7 countries (OECD) 157270000.0
Recipients not classified by income group (OECD) 1979 Australia NaN
Recipients not classified by income group (OECD) 1982 New Zealand NaN
Recipients not classified by income group (OECD) 1987 WFP NaN
Recipients not classified by income group (OECD) 2016 World Tourism Organization (UNWTO) NaN
~ Column oda (new data, changed data)
+ + New values: 3860 / 490996 (0.79%)
country year donor oda
Countries not classified by income (OECD) 1972 G7 countries (OECD) 4225959936.0
Countries not classified by income (OECD) 1979 Australia 74180000.0
Countries not classified by income (OECD) 1982 New Zealand 48580000.0
Countries not classified by income (OECD) 1987 WFP 5580000.0
Countries not classified by income (OECD) 2016 World Tourism Organization (UNWTO) 14330000.0
- - Removed values: 3860 / 490996 (0.79%)
country year donor oda
Recipients not classified by income group (OECD) 1972 G7 countries (OECD) 4225959936.0
Recipients not classified by income group (OECD) 1979 Australia 74180000.0
Recipients not classified by income group (OECD) 1982 New Zealand 48580000.0
Recipients not classified by income group (OECD) 1987 WFP 5580000.0
Recipients not classified by income group (OECD) 2016 World Tourism Organization (UNWTO) 14330000.0
~ Column oda_share_gni (new data)
+ + New values: 3860 / 490996 (0.79%)
country year donor oda_share_gni
Countries not classified by income (OECD) 1972 G7 countries (OECD) NaN
Countries not classified by income (OECD) 1979 Australia NaN
Countries not classified by income (OECD) 1982 New Zealand NaN
Countries not classified by income (OECD) 1987 WFP NaN
Countries not classified by income (OECD) 2016 World Tourism Organization (UNWTO) NaN
- - Removed values: 3860 / 490996 (0.79%)
country year donor oda_share_gni
Recipients not classified by income group (OECD) 1972 G7 countries (OECD) NaN
Recipients not classified by income group (OECD) 1979 Australia NaN
Recipients not classified by income group (OECD) 1982 New Zealand NaN
Recipients not classified by income group (OECD) 1987 WFP NaN
Recipients not classified by income group (OECD) 2016 World Tourism Organization (UNWTO) NaN
~ Column recoveries (new data, changed data)
+ + New values: 3860 / 490996 (0.79%)
country year donor recoveries
Countries not classified by income (OECD) 1972 G7 countries (OECD) NaN
Countries not classified by income (OECD) 1979 Australia NaN
Countries not classified by income (OECD) 1982 New Zealand NaN
Countries not classified by income (OECD) 1987 WFP NaN
Countries not classified by income (OECD) 2016 World Tourism Organization (UNWTO) NaN
- - Removed values: 3860 / 490996 (0.79%)
country year donor recoveries
Recipients not classified by income group (OECD) 1972 G7 countries (OECD) NaN
Recipients not classified by income group (OECD) 1979 Australia NaN
Recipients not classified by income group (OECD) 1982 New Zealand NaN
Recipients not classified by income group (OECD) 1987 WFP NaN
Recipients not classified by income group (OECD) 2016 World Tourism Organization (UNWTO) NaN
~ Column technical_cooperation (new data, changed data)
+ + New values: 3860 / 490996 (0.79%)
country year donor technical_cooperation
Countries not classified by income (OECD) 1972 G7 countries (OECD) 2544280064.0
Countries not classified by income (OECD) 1979 Australia 28090000.0
Countries not classified by income (OECD) 1982 New Zealand 8480000.0
Countries not classified by income (OECD) 1987 WFP NaN
Countries not classified by income (OECD) 2016 World Tourism Organization (UNWTO) 1560000.0
- - Removed values: 3860 / 490996 (0.79%)
country year donor technical_cooperation
Recipients not classified by income group (OECD) 1972 G7 countries (OECD) 2544280064.0
Recipients not classified by income group (OECD) 1979 Australia 28090000.0
Recipients not classified by income group (OECD) 1982 New Zealand 8480000.0
Recipients not classified by income group (OECD) 1987 WFP NaN
Recipients not classified by income group (OECD) 2016 World Tourism Organization (UNWTO) 1560000.0
= Table official_development_assistance
~ Dim country
+ + New values: 319 / 131986 (0.24%)
year donor sector country
1963 Total aid NaN Countries not classified by income (OECD)
1975 DAC countries NaN Countries not classified by income (OECD)
2004 Total aid NaN Countries not classified by income (OECD)
2014 Non-DAC countries NaN Countries not classified by income (OECD)
2022 Multilateral organizations NaN Countries not classified by income (OECD)
- - Removed values: 319 / 131986 (0.24%)
year donor sector country
1963 Total aid NaN Recipients not classified by income group (OECD)
1975 DAC countries NaN Recipients not classified by income group (OECD)
2004 Total aid NaN Recipients not classified by income group (OECD)
2014 Non-DAC countries NaN Recipients not classified by income group (OECD)
2022 Multilateral organizations NaN Recipients not classified by income group (OECD)
~ Dim year
+ + New values: 319 / 131986 (0.24%)
country donor sector year
Countries not classified by income (OECD) Total aid NaN 1963
Countries not classified by income (OECD) DAC countries NaN 1975
Countries not classified by income (OECD) Total aid NaN 2004
Countries not classified by income (OECD) Non-DAC countries NaN 2014
Countries not classified by income (OECD) Multilateral organizations NaN 2022
- - Removed values: 319 / 131986 (0.24%)
country donor sector year
Recipients not classified by income group (OECD) Total aid NaN 1963
Recipients not classified by income group (OECD) DAC countries NaN 1975
Recipients not classified by income group (OECD) Total aid NaN 2004
Recipients not classified by income group (OECD) Non-DAC countries NaN 2014
Recipients not classified by income group (OECD) Multilateral organizations NaN 2022
~ Dim donor
+ + New values: 319 / 131986 (0.24%)
country year sector donor
Countries not classified by income (OECD) 1963 NaN Total aid
Countries not classified by income (OECD) 1975 NaN DAC countries
Countries not classified by income (OECD) 2004 NaN Total aid
Countries not classified by income (OECD) 2014 NaN Non-DAC countries
Countries not classified by income (OECD) 2022 NaN Multilateral organizations
- - Removed values: 319 / 131986 (0.24%)
country year sector donor
Recipients not classified by income group (OECD) 1963 NaN Total aid
Recipients not classified by income group (OECD) 1975 NaN DAC countries
Recipients not classified by income group (OECD) 2004 NaN Total aid
Recipients not classified by income group (OECD) 2014 NaN Non-DAC countries
Recipients not classified by income group (OECD) 2022 NaN Multilateral organizations
~ Dim sector
+ + New values: 319 / 131986 (0.24%)
country year donor sector
Countries not classified by income (OECD) 1963 Total aid NaN
Countries not classified by income (OECD) 1975 DAC countries NaN
Countries not classified by income (OECD) 2004 Total aid NaN
Countries not classified by income (OECD) 2014 Non-DAC countries NaN
Countries not classified by income (OECD) 2022 Multilateral organizations NaN
- - Removed values: 319 / 131986 (0.24%)
country year donor sector
Recipients not classified by income group (OECD) 1963 Total aid NaN
Recipients not classified by income group (OECD) 1975 DAC countries NaN
Recipients not classified by income group (OECD) 2004 Total aid NaN
Recipients not classified by income group (OECD) 2014 Non-DAC countries NaN
Recipients not classified by income group (OECD) 2022 Multilateral organizations NaN
~ Column capital_subscriptions_deposits (changed metadata, new data)
- - Official development assistance (ODA) eligibility criteria are based on (i) country eligibility, (ii) concessionality, and (iii) the promotion of the economic development and welfare of developing countries as the main objective. This means that (i) only countries and territories included in the list of ODA recipients are eligible to receive this assistance, (ii) lending is defined by minimum requirements according to the income category of the recipient country, and (iii) reporting rules have been implemented to define what is "primarily developmental". For more details about ODA, please refer to the (https://one.oecd.org/document/DCD/DAC/STAT(2023)9/FINAL/en/pdf).
? -----------------------------------------------------------------------------------------------------------------------------------------------
+ + Official development assistance (ODA) eligibility criteria are based on (i) country eligibility, (ii) concessionality, and (iii) the promotion of the economic development and welfare of developing countries as the main objective. This means that (i) only countries and territories included in the list of ODA recipients are eligible to receive this assistance, (ii) lending is defined by minimum requirements according to the income category of the recipient country, and (iii) reporting rules have been implemented to define what is "primarily developmental".
+ + New values: 319 / 131986 (0.24%)
country year donor sector capital_subscriptions_deposits
Countries not classified by income (OECD) 1963 Total aid NaN NaN
Countries not classified by income (OECD) 1975 DAC countries NaN NaN
Countries not classified by income (OECD) 2004 Total aid NaN NaN
Countries not classified by income (OECD) 2014 Non-DAC countries NaN NaN
Countries not classified by income (OECD) 2022 Multilateral organizations NaN NaN
- - Removed values: 319 / 131986 (0.24%)
country year donor sector capital_subscriptions_deposits
Recipients not classified by income group (OECD) 1963 Total aid NaN NaN
Recipients not classified by income group (OECD) 1975 DAC countries NaN NaN
Recipients not classified by income group (OECD) 2004 Total aid NaN NaN
Recipients not classified by income group (OECD) 2014 Non-DAC countries NaN NaN
Recipients not classified by income group (OECD) 2022 Multilateral organizations NaN NaN
~ Column capital_subscriptions_deposits_recipient (changed metadata, new data)
- - Official development assistance (ODA) eligibility criteria are based on (i) country eligibility, (ii) concessionality, and (iii) the promotion of the economic development and welfare of developing countries as the main objective. This means that (i) only countries and territories included in the list of ODA recipients are eligible to receive this assistance, (ii) lending is defined by minimum requirements according to the income category of the recipient country, and (iii) reporting rules have been implemented to define what is "primarily developmental". For more details about ODA, please refer to the (https://one.oecd.org/document/DCD/DAC/STAT(2023)9/FINAL/en/pdf).
? -----------------------------------------------------------------------------------------------------------------------------------------------
+ + Official development assistance (ODA) eligibility criteria are based on (i) country eligibility, (ii) concessionality, and (iii) the promotion of the economic development and welfare of developing countries as the main objective. This means that (i) only countries and territories included in the list of ODA recipients are eligible to receive this assistance, (ii) lending is defined by minimum requirements according to the income category of the recipient country, and (iii) reporting rules have been implemented to define what is "primarily developmental".
+ + New values: 319 / 131986 (0.24%)
country year donor sector capital_subscriptions_deposits_recipient
Countries not classified by income (OECD) 1963 Total aid NaN NaN
Countries not classified by income (OECD) 1975 DAC countries NaN NaN
Countries not classified by income (OECD) 2004 Total aid NaN NaN
Countries not classified by income (OECD) 2014 Non-DAC countries NaN NaN
Countries not classified by income (OECD) 2022 Multilateral organizations NaN NaN
- - Removed values: 319 / 131986 (0.24%)
country year donor sector capital_subscriptions_deposits_recipient
Recipients not classified by income group (OECD) 1963 Total aid NaN NaN
Recipients not classified by income group (OECD) 1975 DAC countries NaN NaN
Recipients not classified by income group (OECD) 2004 Total aid NaN NaN
Recipients not classified by income group (OECD) 2014 Non-DAC countries NaN NaN
Recipients not classified by income group (OECD) 2022 Multilateral organizations NaN NaN
~ Column development_food_aid_recipient (new data, changed data)
+ + New values: 319 / 131986 (0.24%)
country year donor sector development_food_aid_recipient
Countries not classified by income (OECD) 1963 Total aid NaN NaN
Countries not classified by income (OECD) 1975 DAC countries NaN 909640000.0
Countries not classified by income (OECD) 2004 Total aid NaN NaN
Countries not classified by income (OECD) 2014 Non-DAC countries NaN 70000.0
Countries not classified by income (OECD) 2022 Multilateral organizations NaN 8820000.0
- - Removed values: 319 / 131986 (0.24%)
country year donor sector development_food_aid_recipient
Recipients not classified by income group (OECD) 1963 Total aid NaN NaN
Recipients not classified by income group (OECD) 1975 DAC countries NaN 909640000.0
Recipients not classified by income group (OECD) 2004 Total aid NaN NaN
Recipients not classified by income group (OECD) 2014 Non-DAC countries NaN 70000.0
Recipients not classified by income group (OECD) 2022 Multilateral organizations NaN 8820000.0
~ Column development_food_aid_recipient_per_capita (new data)
+ + New values: 319 / 131986 (0.24%)
country year donor sector development_food_aid_recipient_per_capita
Countries not classified by income (OECD) 1963 Total aid NaN NaN
Countries not classified by income (OECD) 1975 DAC countries NaN NaN
Countries not classified by income (OECD) 2004 Total aid NaN NaN
Countries not classified by income (OECD) 2014 Non-DAC countries NaN NaN
Countries not classified by income (OECD) 2022 Multilateral organizations NaN NaN
- - Removed values: 319 / 131986 (0.24%)
country year donor sector development_food_aid_recipient_per_capita
Recipients not classified by income group (OECD) 1963 Total aid NaN NaN
Recipients not classified by income group (OECD) 1975 DAC countries NaN NaN
Recipients not classified by income group (OECD) 2004 Total aid NaN NaN
Recipients not classified by income group (OECD) 2014 Non-DAC countries NaN NaN
Recipients not classified by income group (OECD) 2022 Multilateral organizations NaN NaN
~ Column flows_net_disbursements (new data)
+ + New values: 319 / 131986 (0.24%)
country year donor sector flows_net_disbursements
Countries not classified by income (OECD) 1963 Total aid NaN NaN
Countries not classified by income (OECD) 1975 DAC countries NaN NaN
Countries not classified by income (OECD) 2004 Total aid NaN NaN
Countries not classified by income (OECD) 2014 Non-DAC countries NaN NaN
Countries not classified by income (OECD) 2022 Multilateral organizations NaN NaN
- - Removed values: 319 / 131986 (0.24%)
country year donor sector flows_net_disbursements
Recipients not classified by income group (OECD) 1963 Total aid NaN NaN
Recipients not classified by income group (OECD) 1975 DAC countries NaN NaN
Recipients not classified by income group (OECD) 2004 Total aid NaN NaN
Recipients not classified by income group (OECD) 2014 Non-DAC countries NaN NaN
Recipients not classified by income group (OECD) 2022 Multilateral organizations NaN NaN
~ Column flows_share_gni_grant_equivalents (new data)
+ + New values: 319 / 131986 (0.24%)
country year donor sector flows_share_gni_grant_equivalents
Countries not classified by income (OECD) 1963 Total aid NaN NaN
Countries not classified by income (OECD) 1975 DAC countries NaN NaN
Countries not classified by income (OECD) 2004 Total aid NaN NaN
Countries not classified by income (OECD) 2014 Non-DAC countries NaN NaN
Countries not classified by income (OECD) 2022 Multilateral organizations NaN NaN
- - Removed values: 319 / 131986 (0.24%)
country year donor sector flows_share_gni_grant_equivalents
Recipients not classified by income group (OECD) 1963 Total aid NaN NaN
Recipients not classified by income group (OECD) 1975 DAC countries NaN NaN
Recipients not classified by income group (OECD) 2004 Total aid NaN NaN
Recipients not classified by income group (OECD) 2014 Non-DAC countries NaN NaN
Recipients not classified by income group (OECD) 2022 Multilateral organizations NaN NaN
~ Column flows_share_gni_net_disbursements (new data)
+ + New values: 319 / 131986 (0.24%)
country year donor sector flows_share_gni_net_disbursements
Countries not classified by income (OECD) 1963 Total aid NaN NaN
Countries not classified by income (OECD) 1975 DAC countries NaN NaN
Countries not classified by income (OECD) 2004 Total aid NaN NaN
Countries not classified by income (OECD) 2014 Non-DAC countries NaN NaN
Countries not classified by income (OECD) 2022 Multilateral organizations NaN NaN
- - Removed values: 319 / 131986 (0.24%)
country year donor sector flows_share_gni_net_disbursements
Recipients not classified by income group (OECD) 1963 Total aid NaN NaN
Recipients not classified by income group (OECD) 1975 DAC countries NaN NaN
Recipients not classified by income group (OECD) 2004 Total aid NaN NaN
Recipients not classified by income group (OECD) 2014 Non-DAC countries NaN NaN
Recipients not classified by income group (OECD) 2022 Multilateral organizations NaN NaN
~ Column grants (changed metadata, new data)
- - Official development assistance (ODA) eligibility criteria are based on (i) country eligibility, (ii) concessionality, and (iii) the promotion of the economic development and welfare of developing countries as the main objective. This means that (i) only countries and territories included in the list of ODA recipients are eligible to receive this assistance, (ii) lending is defined by minimum requirements according to the income category of the recipient country, and (iii) reporting rules have been implemented to define what is "primarily developmental". For more details about ODA, please refer to the (https://one.oecd.org/document/DCD/DAC/STAT(2023)9/FINAL/en/pdf).
? -----------------------------------------------------------------------------------------------------------------------------------------------
+ + Official development assistance (ODA) eligibility criteria are based on (i) country eligibility, (ii) concessionality, and (iii) the promotion of the economic development and welfare of developing countries as the main objective. This means that (i) only countries and territories included in the list of ODA recipients are eligible to receive this assistance, (ii) lending is defined by minimum requirements according to the income category of the recipient country, and (iii) reporting rules have been implemented to define what is "primarily developmental".
+ + New values: 319 / 131986 (0.24%)
country year
...diff too long, truncated...Automatically updated datasets matching weekly_wildfires|excess_mortality|covid|fluid|flunet|country_profile|garden/ihme_gbd/2019/gbd_risk are not included Edited: 2024-10-09 10:56:00 UTC |
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