UNICEF's country profile for Papua New Guinea, including under-five mortality rates, child health, education and sanitation data.

Papua New Guinea PG: Mortality Rate: Neonatal: per 1000 Live Births data was reported at 23.700 Ratio in 2017. This records a decrease from the previous number of 24.200 Ratio for 2016. Papua New Guinea PG: Mortality Rate: Neonatal: per 1000 Live Births data is updated yearly, averaging 30.450 Ratio from Dec 1974 (Median) to 2017, with 44 observations. The data reached an all-time high of 41.800 Ratio in 1974 and a record low of 23.700 Ratio in 2017. Papua New Guinea PG: Mortality Rate: Neonatal: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Papua New Guinea – Table PG.World Bank: Health Statistics. Neonatal mortality rate is the number of neonates dying before reaching 28 days of age, per 1,000 live births in a given year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries.

Papua New Guinea PG: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data was reported at 16.300 Ratio in 2016. Papua New Guinea PG: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data is updated yearly, averaging 16.300 Ratio from Dec 2016 (Median) to 2016, with 1 observations. Papua New Guinea PG: Mortality Rate Attributed to Unsafe Water, Unsafe Sanitation and Lack of Hygiene: per 100,000 Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Papua New Guinea – Table PG.World Bank: Health Statistics. Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene is deaths attributable to unsafe water, sanitation and hygiene focusing on inadequate WASH services per 100,000 population. Death rates are calculated by dividing the number of deaths by the total population. In this estimate, only the impact of diarrhoeal diseases, intestinal nematode infections, and protein-energy malnutrition are taken into account.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;

Papua New Guinea PG: Domestic General Government Health Expenditure: % of Current Health Expenditure data was reported at 71.035 % in 2015. This records a decrease from the previous number of 74.668 % for 2014. Papua New Guinea PG: Domestic General Government Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 67.326 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 82.935 % in 2000 and a record low of 58.097 % in 2003. Papua New Guinea PG: Domestic General Government Health Expenditure: % of Current Health Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Papua New Guinea – Table PG.World Bank: Health Statistics. Share of current health expenditures funded from domestic public sources for health. Domestic public sources include domestic revenue as internal transfers and grants, transfers, subsidies to voluntary health insurance beneficiaries, non-profit institutions serving households (NPISH) or enterprise financing schemes as well as compulsory prepayment and social health insurance contributions. They do not include external resources spent by governments on health.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;

Historical dataset showing Papua New Guinea healthcare spending per capita by year from 2000 to 2022.

Infant mortality rate of Papua New Guinea fell by 3.03% from 33.0 deaths per thousand live births in 2022 to 32.0 deaths per thousand live births in 2023. Since the 2.52% decline in 2013, infant mortality rate plummeted by 24.88% in 2023. Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 live births in a given year.

Papua New Guinea: Health spending as percent of GDP: The latest value from 2022 is 2.62 percent, an increase from 2.34 percent in 2021. In comparison, the world average is 6.74 percent, based on data from 185 countries. Historically, the average for Papua New Guinea from 2000 to 2022 is 2.41 percent. The minimum value, 1.82 percent, was reached in 2015 while the maximum of 3.27 percent was recorded in 2014.

Papua New Guinea PG: Current Health Expenditure: % of GDP data was reported at 3.768 % in 2015. This records a decrease from the previous number of 4.469 % for 2014. Papua New Guinea PG: Current Health Expenditure: % of GDP data is updated yearly, averaging 3.656 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 4.876 % in 2013 and a record low of 3.030 % in 2000. Papua New Guinea PG: Current Health Expenditure: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Papua New Guinea – Table PG.World Bank: Health Statistics. Level of current health expenditure expressed as a percentage of GDP. Estimates of current health expenditures include healthcare goods and services consumed during each year. This indicator does not include capital health expenditures such as buildings, machinery, IT and stocks of vaccines for emergency or outbreaks.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;

Female adult mortality rate of Papua New Guinea dropped by 6.67% from 189.2 deaths per 1,000 female adults in 2022 to 176.6 deaths per 1,000 female adults in 2023. Since the 12.20% jump in 2021, female adult mortality rate slumped by 13.04% in 2023. Adult mortality rate is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old dying before reaching age 60, if subject to current age-specific mortality rates between those ages.

This spatial dataset of health facilities is a national dataset of 705 facilities across Papua New Guinea. Edits were made to the original dataset to include provincial, district and LLG attribute information.

The original dataset was provided to the UN-OCHA Regional Office for the Asia-Pacific by the National Statistics Office.

Abstract

The primary objective of the 2006 DHS is to provide to the Department of Health (DOH), Department of National Planning and Monitoring (DNPM) and other relevant institutions and users with updated and reliable data on infant and child mortality, fertility preferences, family planning behavior, maternal mortality, utilization of maternal and child health services, knowledge of HIV/AIDS and behavior, sexually risk behavior and information on the general household amenities. This information contributes to policy planning, monitoring, and program evaluation for development at all levels of government particularly at the national and provincial levels. The information will also be used to assess the performance of government development interventions aimed at addressing the targets set out under the MDG and MTDS. The long-term objective of the survey is to technically strengthen the capacity of the NSO in conducting and analyzing the results of future surveys.

The successful conduct and completion of this survey is a result of the combined effort of individuals and institutions particularly in their participation and cooperation in the Users Advisory Committee (UAC) and the National Steering Committee (NSC) in the different phases of the survey.

The survey was conducted by the Population and Social Statistics Division of the National Statistical Office of PNG. The 2006 DHS was jointly funded by the Government of PNG and Donor Partners through ADB while technical assistance was provided by International Consultants and NSO Philippines.

Geographic coverage

National level Regional level Urban and Rural

Analysis unit

• Households
• Individuals

Universe

The survey covered all de jure household members (usual residents), all women and men aged 15-50 years resident in the household.

Kind of data

Sample survey data [ssd]

Sampling procedure

The primary focus of the 2006 DHS is to provide estimates of key population and health indicators at the national level. A secondary but important priority is to also provide estimates at the regional level, and for urban and rural areas respectively. The 2006 DHS employed the same survey methodology used in the 1996 DHS. The 2006 DHS sample was a two stage self-weighting systematic cluster sample of regions with the first stage being at the census unit level and the second stage at the household level. The 2000 Census frame comprised of a list of census units was used to select the sample of 10,000 households for the 2006 DHS.

A total of 667 clusters were selected from the four regions. All census units were listed in a geographic order within their districts, and districts within each province and the sample was selected accordingly through the use of appropriate sampling fraction. The distribution of households according to urban-rural sectors was as follows:

8,000 households were allocated to the rural areas of PNG. The proportional allocation was used to allocate the first 4,000 households to regions based on projected citizen household population in 2006. The other 4,000 households were allocated equally across all four regions to ensure that each region have sufficient sample for regional level analysis.

2,000 households were allocated to the urban areas of PNG using proportional allocation based on the 2006 projected urban citizen population. This allocation was to ensure that the most accurate estimates for urban areas are obtained at the national level.

All households in the selected census units were listed in a separate field operation from June to July 2006. From the list of households, 16 households were selected in the rural census units and 12 in the urban census units using systematic sampling. All women and men age 15-50 years who were either usual residents of the selected households or visitors present in the household on the night before the survey were eligible to be interviewed. Further information on the survey design is contained in Appendix A of the survey report.

Mode of data collection

Face-to-face [f2f]

Research instrument

Three questionnaires were used in the 2006 DHS namely; the Household Questionnaire (HHQ), the Female Individual Questionnaire (FIQ) and the Male Individual Questionnaire (MIQ). The planning and development of these questionnaires involved close consultation with the UAC members comprising of the following line departments and agencies namely; Department of Health (DOH), Department of Education (DOE), Department of National Planning and Monitoring (DNPM), National Aids Council Secretariat (NACS), Department of Agriculture and Livestock (DAL), Department of Labour and Employment (DLE), University of Papua New Guinea (UPNG), National Research Institute (NRI) and representatives from Development partners.

The HHQ was designed to collect background information for all members of the selected households. This information was used to identify eligible female and male respondents for the respective individual questionnaires. Additional information on household amenities and services, and malaria prevention was also collected.

The FIQ contains questions on respondents background, including marriage and polygyny; birth history, maternal and child health, knowledge and use of contraception, fertility preferences, HIV/AIDS including new modules on sexual risk behaviour and attitudes to issues of well being. All females age 15-50 years identified from the HHQ were eligible for interview using this questionnaire.

The MIQ collected almost the same information as in the FIQ except for birth history. All males age 15-50 years identified from the HHQ were eligible to be interviewed using the MIQ.

Two pre-tests were carried out aimed at testing the flow of the existing and new questions and the administering of the MIQ between March and April 2006. The final questionnaires contained all the modules used in the 1996 DHS including new modules on malaria prevention, sexual risk behaviour and attitudes to issues of well being.

Cleaning operations

All questionnaires from the field were sent to the NSO headquarters in Port Moresby in February 2007 for editing and coding, data entry and data cleaning. Editing was done in 3 stages to enable the creation of clean data files for each province from which the tabulations were generated. Data entry and processing were done using the CSPro software and was completed by October 2008.

Response rate

Table A.2 of the survey report provides a summary of the sample implementation of the 2006 DHS. Despite the recency of the household listing, approximately 7 per cent of households could not be contacted due to prolonged absence or because their dwellings were vacant or had been destroyed. Among the households contacted, a response rate of 97 per cent was achieved. Within the 9,017 households successfully interviewed, a total of 11, 456 women and 11, 463 of men age 15-49 years were eligible to be interviewed. Successful interviews were conducted with 90 per cent of eligible women (10, 353) and 88 per cent of eligible men (10,077). The most common cause of non-response was absence (5 per cent). Among the regions, the rate of success among women was highest in all the regions (92 per cent each) except for Momase region at 86 per cent. The rate of success among men was highest in Highlands and Islands region and lowest in Momase region. The overall response rate, calculated as the product of the household and female individual response rate (.97*.90) was 87 per cent.

Sampling error estimates

Appendix B of the survey report describes the general procedure in the computation of sampling errors of the sample survey estimates generated. It basically follows the procedure adopted in most Demographic and Health Surveys.

Data appraisal

Appendix C explains to the data users the quality of the 2006 DHS. Non-sampling errors are those that occur in surveys and censuses through the following causes: a) Failure to locate the selected household b) Mistakes in the way questions were asked c) Misunderstanding by the interviewer or respondent d) Coding errors e) Data entry errors, etc.

Total eradication of non-sampling errors is impossible however great measures were taken to minimize them as much as possible. These measures included: a) Careful questionnaire design b) Pretesting of survey instruments to guarantee their functionality c) A month of interviewers’ and supervisors’ training d) Careful fieldwork supervision including field visits by NSOHQ personnel e) A swift data processing prior to data entry f ) The use of interactive data entry software to minimize errors

Time series data for the statistic Current health expenditure (% of GDP) and country Papua New Guinea. Indicator Definition:Level of current health expenditure expressed as a percentage of GDP. Estimates of current health expenditures include healthcare goods and services consumed during each year. This indicator does not include capital health expenditures such as buildings, machinery, IT and stocks of vaccines for emergency or outbreaks.The indicator "Current health expenditure (% of GDP)" stands at 2.62 as of 12/31/2022, the highest value since 12/31/2015. Regarding the One-Year-Change of the series, the current value constitutes an increase of 11.89 percent compared to the value the year prior.The 1 year change in percent is 11.89.The 3 year change in percent is 12.60.The 5 year change in percent is 17.43.The 10 year change in percent is -1.83.The Serie's long term average value is 2.41. It's latest available value, on 12/31/2022, is 8.50 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/2015, to it's latest available value, on 12/31/2022, is +43.95%.The Serie's change in percent from it's maximum value, on 12/31/2014, to it's latest available value, on 12/31/2022, is -19.96%.

Papua New Guinea: Health spending per capita: The latest value from 2022 is 81.11 U.S. dollars, an increase from 61.03 U.S. dollars in 2021. In comparison, the world average is 1324.86 U.S. dollars, based on data from 185 countries. Historically, the average for Papua New Guinea from 2000 to 2022 is 46.38 U.S. dollars. The minimum value, 18.2 U.S. dollars, was reached in 2001 while the maximum of 89.08 U.S. dollars was recorded in 2014.

Health Policy

The life expectancy experiences significant growth in all gender groups in 2023. As part of the positive trend, the life expectancy reaches the maximum value for the different genders at the end of the comparison period. Particularly noteworthy is the life expectancy of women at birth, which has the highest value of 69.08 years. Life expectancy at birth refers to the number of years the average newborn is expected to live, providing that mortality patterns at the time of birth do not change thereafter.Find further similar statistics for other countries or regions like Suriname and Saint Vincent and the Grenadines.

General government expenditure on health as a share of current health expenditure of Papua New Guinea soared by 17.03% from 50.0 % in 2021 to 58.5 % in 2022. Since the 16.93% slump in 2019, general government expenditure on health as a share of current health expenditure increased by 0.33% in 2022. Share of current health expenditures funded from domestic public sources for health. Domestic public sources include domestic revenue as internal transfers and grants, transfers, subsidies to voluntary health insurance beneficiaries, non-profit institutions serving households (NPISH) or enterprise financing schemes as well as compulsory prepayment and social health insurance contributions. They do not include external resources spent by governments on health.

Papua New Guinea PG: Life Expectancy at Birth: Male data was reported at 63.139 Year in 2016. This records an increase from the previous number of 62.996 Year for 2015. Papua New Guinea PG: Life Expectancy at Birth: Male data is updated yearly, averaging 55.642 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 63.139 Year in 2016 and a record low of 40.303 Year in 1960. Papua New Guinea PG: Life Expectancy at Birth: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Papua New Guinea – Table PG.World Bank: Health Statistics. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;

Presents PNG's prioritized environmental concerns which include: 1) Environmental conditions – Papua New Guinea 2) Environmental protection – Papua New Guinea 3) Environmental impact analysis – Papua New Guinea 4) Public health – Environmental – Papua New Guinea 5) Marine resources – Conservation – Papua New Guinea 6) Fisheries conservation – Papua New Guinea

This line chart displays health expenditure per capita (current US$) by date using the aggregation average, weighted by population in Papua New Guinea. The data is about countries per year.

Comprehensive dataset containing 126 verified Community health centre businesses in Papua New Guinea with complete contact information, ratings, reviews, and location data.