Mortality rate, infant (per 1,000 live births)
Africa Eastern and Southern, Afghanistan, Africa Western and Central...and 238 more, 1960 - 2019
Reference ID
SP.DYN.IMRT.IN
Metadata
Created on
Oct 29, 2021
Last modified
Oct 29, 2021
Page views
1154
Overview
Series unique ID
SP.DYN.IMRT.IN
Series Name
Mortality rate, infant (per 1,000 live births)
Database ID
WLD_2021_WDI_v01_M
Periodicity of data
Annual
Series chart
Data preview
Map
Race chart
Definition long
Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 live births in a given year.
Methodology
The main sources of mortality data are vital registration systems and direct or indirect estimates based on sample surveys or censuses. A "complete" vital registration system - covering at least 90 percent of vital events in the population - is the best source of age-specific mortality data.
Estimates of neonatal, infant, and child mortality tend to vary by source and method for a given time and place. Years for available estimates also vary by country, making comparisons across countries and over time difficult. To make neonatal, infant, and child mortality estimates comparable and to ensure consistency across estimates by different agencies, the United Nations Inter-agency Group for Child Mortality Estimation (UN IGME), which comprises the United Nations Children's Fund (UNICEF), the World Health Organization (WHO), the World Bank, the United Nations Population Division, and other universities and research institutes, developed and adopted a statistical method that uses all available information to reconcile differences. The method uses statistical models to obtain a best estimate trend line by fitting a country-specific regression model of mortality rates against their reference dates.
Estimates of neonatal, infant, and child mortality tend to vary by source and method for a given time and place. Years for available estimates also vary by country, making comparisons across countries and over time difficult. To make neonatal, infant, and child mortality estimates comparable and to ensure consistency across estimates by different agencies, the United Nations Inter-agency Group for Child Mortality Estimation (UN IGME), which comprises the United Nations Children's Fund (UNICEF), the World Health Organization (WHO), the World Bank, the United Nations Population Division, and other universities and research institutes, developed and adopted a statistical method that uses all available information to reconcile differences. The method uses statistical models to obtain a best estimate trend line by fitting a country-specific regression model of mortality rates against their reference dates.
Limitations and exceptions
Complete vital registration systems are fairly uncommon in developing countries. Thus estimates must be obtained from sample surveys or derived by applying indirect estimation techniques to registration, census, or survey data. Survey data are subject to recall error, and surveys estimating infant/child deaths require large samples because households in which a birth has occurred during a given year cannot ordinarily be preselected for sampling. Indirect estimates rely on model life tables that may be inappropriate for the population concerned. Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.
Topics
| Topic |
|---|
| Health: Mortality |
Relevance
Mortality rates for different age groups (infants, children, and adults) and overall mortality indicators (life expectancy at birth or survival to a given age) are important indicators of health status in a country. Because data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. And they are among the indicators most frequently used to compare socioeconomic development across countries.
Series dates
| Start | End |
|---|---|
| 1960 | 2019 |
Aggregation method
Weighted Average
Notes
Geographic information
Geographic coverage
| Location name | Location code |
|---|---|
| Africa Eastern and Southern | AFE |
| Afghanistan | AFG |
| Africa Western and Central | AFW |
| Angola | AGO |
| Albania | ALB |
| Andorra | AND |
| Arab World | ARB |
| United Arab Emirates | ARE |
| Argentina | ARG |
| Armenia | ARM |
| Antigua and Barbuda | ATG |
| Australia | AUS |
| Austria | AUT |
| Azerbaijan | AZE |
| Burundi | BDI |
| Belgium | BEL |
| Benin | BEN |
| Burkina Faso | BFA |
| Bangladesh | BGD |
| Bulgaria | BGR |
| Bahrain | BHR |
| The Bahamas | BHS |
| Bosnia and Herzegovina | BIH |
| Belarus | BLR |
| Belize | BLZ |
| Bolivia | BOL |
| Brazil | BRA |
| Barbados | BRB |
| Brunei | BRN |
| Bhutan | BTN |
| Botswana | BWA |
| Central African Republic | CAF |
| Canada | CAN |
| Central Europe and the Baltics | CEB |
| Switzerland | CHE |
| Chile | CHL |
| China | CHN |
| Côte d'Ivoire | CIV |
| Cameroon | CMR |
| Dem. Rep. Congo | COD |
| Congo | COG |
| Colombia | COL |
| Comoros | COM |
| Cabo Verde | CPV |
| Costa Rica | CRI |
| Caribbean small states | CSS |
| Cuba | CUB |
| Cyprus | CYP |
| Czech Republic | CZE |
| Germany | DEU |
| Djibouti | DJI |
| Dominica | DMA |
| Denmark | DNK |
| Dominican Republic | DOM |
| Algeria | DZA |
| East Asia & Pacific (excluding high income) | EAP |
| Early-demographic dividend | EAR |
| East Asia & Pacific | EAS |
| Europe & Central Asia (excluding high income) | ECA |
| Europe & Central Asia | ECS |
| Ecuador | ECU |
| Egypt | EGY |
| Euro area | EMU |
| Eritrea | ERI |
| Spain | ESP |
| Estonia | EST |
| Ethiopia | ETH |
| European Union | EUU |
| Fragile and conflict affected situations | FCS |
| Finland | FIN |
| Fiji | FJI |
| France | FRA |
| Micronesia | FSM |
| Gabon | GAB |
| United Kingdom | GBR |
| Georgia | GEO |
| Ghana | GHA |
| Guinea | GIN |
| The Gambia | GMB |
| Guinea-Bissau | GNB |
| Equatorial Guinea | GNQ |
| Greece | GRC |
| Grenada | GRD |
| Guatemala | GTM |
| Guyana | GUY |
| High income | HIC |
| Honduras | HND |
| Heavily indebted poor countries (HIPC) | HPC |
| Croatia | HRV |
| Haiti | HTI |
| Hungary | HUN |
| IBRD only | IBD |
| IDA & IBRD total | IBT |
| IDA total | IDA |
| IDA blend | IDB |
| Indonesia | IDN |
| IDA only | IDX |
| India | IND |
| Ireland | IRL |
| Iran | IRN |
| Iraq | IRQ |
| Iceland | ISL |
| Israel | ISR |
| Italy | ITA |
| Jamaica | JAM |
| Jordan | JOR |
| Japan | JPN |
| Kazakhstan | KAZ |
| Kenya | KEN |
| Kyrgyz Republic | KGZ |
| Cambodia | KHM |
| Kiribati | KIR |
| St. Kitts and Nevis | KNA |
| Korea | KOR |
| Kuwait | KWT |
| Latin America & Caribbean (excluding high income) | LAC |
| Lao PDR | LAO |
| Lebanon | LBN |
| Liberia | LBR |
| Libya | LBY |
| St. Lucia | LCA |
| Latin America & Caribbean | LCN |
| Least developed countries: UN classification | LDC |
| Low income | LIC |
| Sri Lanka | LKA |
| Lower middle income | LMC |
| Low & middle income | LMY |
| Lesotho | LSO |
| Late-demographic dividend | LTE |
| Lithuania | LTU |
| Luxembourg | LUX |
| Latvia | LVA |
| Morocco | MAR |
| Monaco | MCO |
| Moldova | MDA |
| Madagascar | MDG |
| Maldives | MDV |
| Middle East & North Africa | MEA |
| Mexico | MEX |
| Marshall Islands | MHL |
| Middle income | MIC |
| North Macedonia | MKD |
| Mali | MLI |
| Malta | MLT |
| Myanmar | MMR |
| Middle East & North Africa (excluding high income) | MNA |
| Montenegro | MNE |
| Mongolia | MNG |
| Mozambique | MOZ |
| Mauritania | MRT |
| Mauritius | MUS |
| Malawi | MWI |
| Malaysia | MYS |
| North America | NAC |
| Namibia | NAM |
| Niger | NER |
| Nigeria | NGA |
| Nicaragua | NIC |
| Netherlands | NLD |
| Norway | NOR |
| Nepal | NPL |
| Nauru | NRU |
| New Zealand | NZL |
| OECD members | OED |
| Oman | OMN |
| Other small states | OSS |
| Pakistan | PAK |
| Panama | PAN |
| Peru | PER |
| Philippines | PHL |
| Palau | PLW |
| Papua New Guinea | PNG |
| Poland | POL |
| Pre-demographic dividend | PRE |
| Dem. People's Rep. Korea | PRK |
| Portugal | PRT |
| Paraguay | PRY |
| West Bank and Gaza | PSE |
| Pacific island small states | PSS |
| Post-demographic dividend | PST |
| Qatar | QAT |
| Romania | ROU |
| Russia | RUS |
| Rwanda | RWA |
| South Asia | SAS |
| Saudi Arabia | SAU |
| Sudan | SDN |
| Senegal | SEN |
| Singapore | SGP |
| Solomon Islands | SLB |
| Sierra Leone | SLE |
| El Salvador | SLV |
| San Marino | SMR |
| Somalia | SOM |
| Serbia | SRB |
| Sub-Saharan Africa (excluding high income) | SSA |
| South Sudan | SSD |
| Sub-Saharan Africa | SSF |
| Small states | SST |
| São Tomé and Principe | STP |
| Suriname | SUR |
| Slovak Republic | SVK |
| Slovenia | SVN |
| Sweden | SWE |
| Eswatini | SWZ |
| Seychelles | SYC |
| Syrian Arab Republic | SYR |
| Chad | TCD |
| East Asia & Pacific (IDA & IBRD) | TEA |
| Europe & Central Asia (IDA & IBRD) | TEC |
| Togo | TGO |
| Thailand | THA |
| Tajikistan | TJK |
| Turkmenistan | TKM |
| Latin America & Caribbean (IDA & IBRD) | TLA |
| Timor-Leste | TLS |
| Middle East & North Africa (IDA & IBRD) | TMN |
| Tonga | TON |
| South Asia (IDA & IBRD) | TSA |
| Sub-Saharan Africa (IDA & IBRD) | TSS |
| Trinidad and Tobago | TTO |
| Tunisia | TUN |
| Turkey | TUR |
| Tuvalu | TUV |
| Tanzania | TZA |
| Uganda | UGA |
| Ukraine | UKR |
| Upper middle income | UMC |
| Uruguay | URY |
| United States | USA |
| Uzbekistan | UZB |
| St. Vincent and the Grenadines | VCT |
| Venezuela | VEN |
| Vietnam | VNM |
| Vanuatu | VUT |
| World | WLD |
| Samoa | WSM |
| Yemen | YEM |
| South Africa | ZAF |
| Zambia | ZMB |
| Zimbabwe | ZWE |
API documentation
Api documentation
| See the Developer Information webpage for detailed documentation of the API |
| https://datahelpdesk.worldbank.org/knowledgebase/topics/125589-developer-information |
Series links
License
Access license
| CC BY-4.0 |
| https://creativecommons.org/licenses/by/4.0/ |
Metadata production
Series unique ID
SP.DYN.IMRT.IN