Comprehensive socio-economic dataset for Papua New Guinea including population demographics, economic indicators, geographic data, and social statistics. This dataset covers key metrics such as GDP, population density, area, capital city, and regional classifications.

Abstract

The 2009-2010 HIES collected information on key topics such as family demography, education, health, employment and consumption. The scope of 2009-2010 HIES was broader than the previous survey, with more indicators and more households surveyed, including questions on living standards and other related subject areas. One key goal was to collect data on income and expenditure, and to enable a rebasing of the Consumer Price Index (CPI). This will assist future policy decisions and analysis to be better based on reliable evidence, such that they can better support improvements in the living standards of Papua New Guinea’s people.

As the 2009-2010 HIES was a multi-topic survey, the following types of information were collected:

1. Household level information on housing characteristics, ownership of consumer durables, non- food consumption, access to various types of public services, and incidence and resolution of different types of disputes.

2. Person-level information on age, sex, education, health, employment status, receipt of remittances, and personal security. This was supplemented by anthropometric data for children aged six years or younger.

3. Personal record of all food and nonfood purchases for 14 consecutive days for all household.

Geographic coverage

National

Analysis unit

• Household
• Individual

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample Design PNG is the largest nation in the South Pacific in both land area and population. It is comprised of around 600 islands, and the interior of the country is mountainous. Administratively, the country is divided into 22 provinces, within four geographic regions: Southern Region comprising of the following provinces: Western, Gulf, Central, Milne Bay, Northern Oro, and the National Capital District Highlands Region comprising of the following provinces: Southern Highlands, Enga, Western Highlands, Chimbu, Eastern Highlands, Hela, and Jiwaka Momase Region comprising of the following provinces: Moroboe, Madang, East Sepik, and West Sepik Island Region comprising of Manus, New Ireland, East New Britain, West New Britain, and the Autonomous Region of Bougainville.

A two-stage stratified cluster sample design was used in order to ensure independent estimates for the "rural", "urban", and "metro" areas of each of these regions. "Metro" denotes the two large urban centres of Port Moresby in Southern region and Lae in the Momase region. All the other urban areas in all regions were included in the "urban" stratum. The sample was thus divided into 10 strata. Sample size in each cluster was set to ensure reliable strata-level representative estimates; in addition, the sample size in the metropolitan areas was set large enough to support the development of a new CPI expenditure basket. In each stratum, households were chosen in two stages. In the first stage, using the sampling frame of the 2000 Census, clusters (or Primary Sampling Units) (PSU) were chosen using probability proportional to size. A full listing of households was done in all chosen clusters and a pre-set number of households were then selected randomly from this list. In the non-metropolitan areas, 18 households were chosen per cluster whereas in the metropolitan areas, 6 households were chosen per PSU. Replacement census units or replacement households in each cluster are used in the case of emergencies or when selected households could not be interviewed because of refusal, absence, illness in the family etc, were also selected using the same methodology.

Mode of data collection

Face-to-face [f2f]

Research instrument

The HIES is a complex application with a hierarchical set of questionnaires. For example, the main questionnaire consists of a household roster and other household information, and there are separate questionnaires for eligible members in the household. The data entry application may then contain two levels-one for the household and one for each eligible member in the household. The set of forms corresponding to the household, make up level one. The set of forms corresponding to each eligible member make up level two. Each case would consist of a level one and a variable number of level occurrences for level two. Most applications consist of a single level.

The survey questionnaires contain the following FORMS: 1) From A: Household Control Form 2) Form B: Household Schedule Form 3) Form C: Personal Schedule 4) Form D: Personal Diary 5) Form E: Personal Notepad

Total Operated Flight: Guangdong: Guangzhou-Papua New Guinea: Port Moresby data was reported at 3.000 Unit in 28 Apr 2025. This stayed constant from the previous number of 3.000 Unit for 21 Apr 2025. Total Operated Flight: Guangdong: Guangzhou-Papua New Guinea: Port Moresby data is updated weekly, averaging 3.000 Unit from Dec 2023 (Median) to 28 Apr 2025, with 72 observations. The data reached an all-time high of 3.000 Unit in 28 Apr 2025 and a record low of 0.000 Unit in 27 Jan 2025. Total Operated Flight: Guangdong: Guangzhou-Papua New Guinea: Port Moresby data remains active status in CEIC and is reported by CEIC Data. The data is categorized under China Premium Database’s Transportation and Storage Sector – Table CN.TM: VariFlight Flight Statistics: Total Operated Flight: Departure: Guangdong.

In 2023, the share of urban population in Papua New Guinea remained nearly unchanged at around 13.72 percent. Still, the share reached its highest value in the observed period in 2023. A population may be defined as urban depending on the size (population or area) or population density of the village, town, or city. The urbanization rate then refers to the share of the total population who live in an urban setting. International comparisons may be inconsistent due to differing parameters for what constitutes an urban center.Find more key insights for the share of urban population in countries like Solomon Islands and Tonga.

This research covers two PNG cities, Port Moresby (POM) and Lae. POM has a population of 650,000+ and Lae has 200,000+. Both cities expect rapid population growth (due to urban drift) and economic boom (due to gas, oil and mineral projects), and therefore the level of waste generation and management is becoming a real concern.

Total Cancellation Rate: Guangdong: Guangzhou-Papua New Guinea: Port Moresby data was reported at 25.000 % in 28 Apr 2025. This records an increase from the previous number of 0.000 % for 21 Apr 2025. Total Cancellation Rate: Guangdong: Guangzhou-Papua New Guinea: Port Moresby data is updated weekly, averaging 0.000 % from Dec 2023 (Median) to 28 Apr 2025, with 72 observations. The data reached an all-time high of 100.000 % in 27 Jan 2025 and a record low of 0.000 % in 21 Apr 2025. Total Cancellation Rate: Guangdong: Guangzhou-Papua New Guinea: Port Moresby data remains active status in CEIC and is reported by VariFlight. The data is categorized under China Premium Database’s Transportation and Storage Sector – Table CN.TM: VariFlight Flight Statistics: Total Cancellation Rate: Departure: Guangdong.

Total Operated Flight: Papua New Guinea: Port Moresby-Hong Kong SAR (China) data was reported at 6.000 Unit in 28 Apr 2025. This stayed constant from the previous number of 6.000 Unit for 21 Apr 2025. Total Operated Flight: Papua New Guinea: Port Moresby-Hong Kong SAR (China) data is updated weekly, averaging 6.000 Unit from Dec 2018 (Median) to 28 Apr 2025, with 176 observations. The data reached an all-time high of 8.000 Unit in 24 Mar 2025 and a record low of 2.000 Unit in 02 Jan 2023. Total Operated Flight: Papua New Guinea: Port Moresby-Hong Kong SAR (China) data remains active status in CEIC and is reported by CEIC Data. The data is categorized under China Premium Database’s Transportation and Storage Sector – Table CN.TM: VariFlight Flight Statistics: Total Operated Flight: Arrival: Hong Kong SAR (China).

Total Scheduled Flight: Hong Kong SAR (China)-Papua New Guinea: Port Moresby data was reported at 8.000 Unit in 28 Apr 2025. This records an increase from the previous number of 7.000 Unit for 21 Apr 2025. Total Scheduled Flight: Hong Kong SAR (China)-Papua New Guinea: Port Moresby data is updated weekly, averaging 6.000 Unit from Dec 2018 (Median) to 28 Apr 2025, with 176 observations. The data reached an all-time high of 9.000 Unit in 21 Oct 2024 and a record low of 2.000 Unit in 31 Dec 2018. Total Scheduled Flight: Hong Kong SAR (China)-Papua New Guinea: Port Moresby data remains active status in CEIC and is reported by VariFlight. The data is categorized under China Premium Database’s Transportation and Storage Sector – Table CN.TM: VariFlight Flight Statistics: Total Scheduled Flight: Departure: Hong Kong SAR (China).

This report was produced by SPREP’s International Waters Project which has two main components. The oceanic component focuses on the management and conservation of tuna stocks in the western central Pacific. The focus of the coastal component is on integrated coastal watershed management.

Barakau was selected as the host site for a number of reasons. These were: (i) relatively easy accessibility from Port Moresby, (ii) manageable population size, (iii) environmental issues relevant to IWP focal areas and (iv) degree of understanding of these environmental concerns by the people and their apparent preparedness to address them.

This statistic presents the countries with the highest number of people living without access to safe water worldwide in 2017. Almost ** million people living in Nigeria had no household access to safe water at this time.

Lacking water access – additional information

The World Health Organization states that ** liters of water per person per day is the recommended “intermediate” quantity for health, hygiene, and domestic uses. Comparatively, the United States consumed about ***** cubic meters of water per capita in total in 2017. For those who have no direct access to water at home, buying water can be a significant burden, and those that cannot afford it often resort to using water from unsafe sources. The main reasons people struggle to access water is due to a lack of money or political priority, ineffective institutions and management regimes, as well as social inequalities.

There are over *** million people living in India without household access to safe water, a figure higher than many countries have people. Poor management of water resources in India is one of the major problems preventing adequate water access. Aquifers are the main source of water in the country and the use of hand pumps is quickly depleting shallow aquifers. Other countries in Asia, such as Indonesia and Pakistan, have some ** million and ** million people, respectively, who also have to go without safe water in their own homes.

Globally, about 63 percent of the population in Papua New Guinea lives without safe water access in their homes. In the capital city, Port Moresby, many people live in areas that are outside of existing water utilities and infrastructure. More extreme weather and rising sea levels will likely lead to more uncertainty and unreliable water supplies.

Abstract

The survey was conducted in Papua New Guinea from August 2015 to June 2016 as part of Enterprise Surveys project, an initiative of the World Bank. The objective of the survey is to obtain feedback from enterprises on the state of the private sector as well as to help in building a panel of enterprise data that will make it possible to track changes in the business environment over time, thus allowing, for example, impact assessments of reforms. Through interviews with firms in the manufacturing and services sectors, the survey assesses the constraints to private sector growth and creates statistically significant business environment indicators that are comparable across countries. Only registered businesses are surveyed in the Enterprise Survey.

Data from 65 establishments was analyzed. Stratified random sampling was used to select the surveyed businesses. The data was collected using face-to-face interviews.

The standard Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs and labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. Over 90 percent of the questions objectively ascertain characteristics of a country’s business environment. The remaining questions assess the survey respondents’ opinions on what are the obstacles to firm growth and performance.

Geographic coverage

Lae, Port Moresby

Analysis unit

The primary sampling unit of the study is an establishment. The establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Universe

The whole population, or the universe, covered in the Enterprise Surveys is the non-agricultural private economy. It comprises: all manufacturing sectors according to the ISIC Revision 3.1 group classification (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this population definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub-sector 72, IT, which was added to the population under study), and all public or utilities sectors. Companies with 100% government ownership are not eligible to participate in the Enterprise Surveys.

Kind of data

Sample survey data [ssd]

Sampling procedure

Three levels of stratification were used in this country: industry, establishment size, and region.

Industry stratification was designed in the way that follows: the universe was stratified into Manufacturing industries (ISIC Rev. 3.1 codes 15 - 37), and Services industries (ISIC codes 45, 50-52, 55, 60-64, and 72).

Size stratification was defined as follows: small (5 to 19 employees), medium (20 to 99 employees), and large (100 or more employees).

Regional stratification was done across these regions: Lae and Port Moresby.

Mode of data collection

Face-to-face [f2f]

Research instrument

The following survey instruments are available: - Manufacturing Module Questionnaire - Services Module Questionnaire

Questionnaires have common questions (core module) and respectfully additional manufacturing and services specific questions.

The eligible manufacturing industries have been surveyed using the Manufacturing questionnaire (includes the core module, plus manufacturing specific questions). Retail firms have been interviewed using the Services questionnaire (includes the core module plus retail specific questions) and the residual eligible services have been covered using the Services questionnaire (includes the core module). Each variation of the questionnaire is identified by the index variable, a0.

The survey is fielded via manufacturing or services questionnaires in order not to ask questions that are irrelevant to specific types of firms, e.g. a question that relates to production and nonproduction workers should not be asked of a retail firm. In addition to questions that are asked across countries, all surveys are customized and contain country-specific questions. An example of customization would be including tourism-related questions that are asked in certain countries when tourism is an existing or potential sector of economic growth.

Cleaning operations

Data entry and quality controls are implemented by the contractor and data is delivered to the World Bank in batches (typically 10%, 50% and 100%). These data deliveries are checked for logical consistency, out of range values, skip patterns, and duplicate entries. Problems are flagged by the World Bank and corrected by the implementing contractor through data checks, callbacks, and revisiting establishments.

Response rate

Survey non-response must be differentiated from item non-response. The former refers to refusals to participate in the survey altogether whereas the latter refers to the refusals to answer some specific questions. Enterprise Surveys suffer from both problems and different strategies were used to address these issues.

Item non-response was addressed by two strategies: a- For sensitive questions that may generate negative reactions from the respondent, such as corruption or tax evasion, enumerators were instructed to collect "Refusal to respond" (-8) as a different option from "Don't know" (-9). b- Establishments with incomplete information were re-contacted in order to complete this information, whenever necessary.

Survey non-response was addressed by maximizing efforts to contact establishments that were initially selected for interview. Attempts were made to contact the establishment for interview at different times/days of the week before a replacement establishment (with similar strata characteristics) was suggested for interview. Survey non-response did occur but substitutions were made in order to potentially achieve strata-specific goals.

Total Cancelled Flight: Papua New Guinea: Port Moresby-Hong Kong SAR (China) data was reported at 1.000 Unit in 28 Apr 2025. This records a decrease from the previous number of 2.000 Unit for 21 Apr 2025. Total Cancelled Flight: Papua New Guinea: Port Moresby-Hong Kong SAR (China) data is updated weekly, averaging 0.000 Unit from Dec 2018 (Median) to 28 Apr 2025, with 176 observations. The data reached an all-time high of 4.000 Unit in 12 Jun 2023 and a record low of 0.000 Unit in 14 Apr 2025. Total Cancelled Flight: Papua New Guinea: Port Moresby-Hong Kong SAR (China) data remains active status in CEIC and is reported by VariFlight. The data is categorized under China Premium Database’s Transportation and Storage Sector – Table CN.TM: VariFlight Flight Statistics: Total Cancelled Flight: Arrival: Hong Kong SAR (China).

Due to funding constraints it was decided that the pilot project would be located in the Central Province.When invitations were requested for expressions of interest to host the pilot project, the public in the Central Province was advised that those intending to apply should ensure the environmental issues in their respective villages are relevant to the focal areas and preferably in the same order of importance. Barakau was among the sixty villages that responded. Barakau was chosen as the host site for a number of reasons: (i) the relatively easy access from Port Moresby, (ii) its manageable population size, (iii) environmental issues that are relevant to the IWP focal areas and (iv) the degree of understanding of these environmental concerns by the people and their apparent preparedness to address them.Available electronicallyCall Number: 363.728 8 LOV (EL)ISBN/ISSN: 978-982-04-0346-8Physical Description: 38 p. ; 29 cm

We separate Port Moresby (the largest city and national capital) from the rest of the Southern (“Papua”) region on the grounds that Port Moresby comprises a much more urbanised population than the rest of the region.

Demographic characteristics of survey participants.

Total Scheduled Flight: Papua New Guinea: Port Moresby-Guangdong: Guangzhou data was reported at 4.000 Unit in 28 Apr 2025. This records an increase from the previous number of 3.000 Unit for 21 Apr 2025. Total Scheduled Flight: Papua New Guinea: Port Moresby-Guangdong: Guangzhou data is updated weekly, averaging 3.000 Unit from Dec 2023 (Median) to 28 Apr 2025, with 72 observations. The data reached an all-time high of 4.000 Unit in 28 Apr 2025 and a record low of 1.000 Unit in 27 Jan 2025. Total Scheduled Flight: Papua New Guinea: Port Moresby-Guangdong: Guangzhou data remains active status in CEIC and is reported by VariFlight. The data is categorized under China Premium Database’s Transportation and Storage Sector – Table CN.TM: VariFlight Flight Statistics: Total Scheduled Flight: Arrival: Guangdong.

Total Scheduled Flight: Papua New Guinea: Port Moresby-Hong Kong SAR (China) data was reported at 7.000 Unit in 28 Apr 2025. This records a decrease from the previous number of 8.000 Unit for 21 Apr 2025. Total Scheduled Flight: Papua New Guinea: Port Moresby-Hong Kong SAR (China) data is updated weekly, averaging 6.000 Unit from Dec 2018 (Median) to 28 Apr 2025, with 176 observations. The data reached an all-time high of 9.000 Unit in 11 Nov 2024 and a record low of 2.000 Unit in 31 Dec 2018. Total Scheduled Flight: Papua New Guinea: Port Moresby-Hong Kong SAR (China) data remains active status in CEIC and is reported by VariFlight. The data is categorized under China Premium Database’s Transportation and Storage Sector – Table CN.TM: VariFlight Flight Statistics: Total Scheduled Flight: Arrival: Hong Kong SAR (China).

Total Cancellation Rate: Hong Kong SAR (China)-Papua New Guinea: Port Moresby data was reported at 25.000 % in 28 Apr 2025. This records an increase from the previous number of 14.290 % for 21 Apr 2025. Total Cancellation Rate: Hong Kong SAR (China)-Papua New Guinea: Port Moresby data is updated weekly, averaging 0.000 % from Dec 2018 (Median) to 28 Apr 2025, with 176 observations. The data reached an all-time high of 66.670 % in 30 Oct 2023 and a record low of 0.000 % in 14 Apr 2025. Total Cancellation Rate: Hong Kong SAR (China)-Papua New Guinea: Port Moresby data remains active status in CEIC and is reported by VariFlight. The data is categorized under China Premium Database’s Transportation and Storage Sector – Table CN.TM: VariFlight Flight Statistics: Total Cancellation Rate: Departure: Hong Kong SAR (China).

CN: Total Cancellation Rate: Papua New Guinea: Port Moresby-Hong Kong SAR (China) data was reported at 14.290 % in 28 Apr 2025. This records a decrease from the previous number of 25.000 % for 21 Apr 2025. CN: Total Cancellation Rate: Papua New Guinea: Port Moresby-Hong Kong SAR (China) data is updated weekly, averaging 0.000 % from Dec 2018 (Median) to 28 Apr 2025, with 176 observations. The data reached an all-time high of 66.670 % in 02 Jan 2023 and a record low of 0.000 % in 14 Apr 2025. CN: Total Cancellation Rate: Papua New Guinea: Port Moresby-Hong Kong SAR (China) data remains active status in CEIC and is reported by VariFlight. The data is categorized under China Premium Database’s Transportation and Storage Sector – Table CN.TM: VariFlight Flight Statistics: Total Cancellation Rate: Arrival: Hong Kong SAR (China).

Total Cancelled Flight: Guangdong: Guangzhou-Papua New Guinea: Port Moresby data was reported at 1.000 Unit in 28 Apr 2025. This records an increase from the previous number of 0.000 Unit for 21 Apr 2025. Total Cancelled Flight: Guangdong: Guangzhou-Papua New Guinea: Port Moresby data is updated weekly, averaging 0.000 Unit from Dec 2023 (Median) to 28 Apr 2025, with 72 observations. The data reached an all-time high of 1.000 Unit in 28 Apr 2025 and a record low of 0.000 Unit in 21 Apr 2025. Total Cancelled Flight: Guangdong: Guangzhou-Papua New Guinea: Port Moresby data remains active status in CEIC and is reported by VariFlight. The data is categorized under China Premium Database’s Transportation and Storage Sector – Table CN.TM: VariFlight Flight Statistics: Total Cancelled Flight: Departure: Guangdong.