Philippines Population Density: NCR: City of Manila data was reported at 71,263.000 Person/sq km in 2015. This records an increase from the previous number of 66,140.000 Person/sq km for 2010. Philippines Population Density: NCR: City of Manila data is updated yearly, averaging 65,706.000 Person/sq km from Dec 1975 (Median) to 2015, with 8 observations. The data reached an all-time high of 71,263.000 Person/sq km in 2015 and a record low of 59,164.640 Person/sq km in 1975. Philippines Population Density: NCR: City of Manila data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G005: Population Density.

Based on the 2020 census conducted in the Philippines, the total population in the capital city of Manila reached around **** million, indicating an increase from the previous census year. The population in the city fluctuated over the observed period.

As of July 2024, the population of the city of Manila in the Philippines reached about *** million, indicating growth from the previous census. The city's population growth has been slowing down since 2010.

Philippines Population: NCR: Metro Manila: City of Makati data was reported at 582.602 Person th in 2015. This records an increase from the previous number of 529.039 Person th for 2010. Philippines Population: NCR: Metro Manila: City of Makati data is updated yearly, averaging 477.778 Person th from Dec 1975 (Median) to 2015, with 8 observations. The data reached an all-time high of 582.602 Person th in 2015 and a record low of 334.448 Person th in 1975. Philippines Population: NCR: Metro Manila: City of Makati data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G001: Population: Census 2010.

Based on the 2020 census conducted in the Philippines, the population density in the capital city of Manila reached around ***** thousand per square kilometers, indicating an increase from the previous census year. The population density in the city fluctuated over the observed period.

Population density per pixel at 100 metre resolution. WorldPop provides estimates of numbers of people residing in each 100x100m grid cell for every low and middle income country. Through ingegrating cencus, survey, satellite and GIS datasets in a flexible machine-learning framework, high resolution maps of population counts and densities for 2000-2020 are produced, along with accompanying metadata. DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. REGION: Africa SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated persons per grid square MAPPING APPROACH: Land cover based, as described in: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743. FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - AGO10adjv4.tif = Angola (AGO) population count map for 2010 (10) adjusted to match UN national estimates (adj), version 4 (v4). Population maps are updated to new versions when improved census or other input data become available. Philippines data available from WorldPop here. Data and Resources TIFF Philippines - Population density (2015) DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid...

Based on the 2020 census, there were approximately 179.18 thousand males and about 178 thousand females between the ages of 20 and 29 years old residing in the capital city of Manila in the Philippines - the largest age group in that year. The number of people in Manila declined with age, with the male population of those 80 years and above reaching about 3.51 thousand.

Philippines Population: NCR: City of Manila data was reported at 1,780.148 Person th in 2015. This records an increase from the previous number of 1,652.171 Person th for 2010. Philippines Population: NCR: City of Manila data is updated yearly, averaging 1,641.328 Person th from Dec 1975 (Median) to 2015, with 8 observations. The data reached an all-time high of 1,780.148 Person th in 2015 and a record low of 1,479.116 Person th in 1975. Philippines Population: NCR: City of Manila data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G001: Population: Census 2010.

Based on the 2020 census, there were slightly more females residing in Metro Manila or the National Capital Region (NCR) in the Philippines than their male counterparts. In that year, about 6.73 million females and roughly 6.67 million males were living in the region.

Based on the 2020 census, there were slightly more males residing in the capital city of Manila in the Philippines than their female counterparts. In that year, about 913,000 males and roughly 925,000 females were in Manila.

Philippines Population: NCR: Metro Manila: Taguig data was reported at 804.915 Person th in 2015. This records an increase from the previous number of 644.473 Person th for 2010. Philippines Population: NCR: Metro Manila: Taguig data is updated yearly, averaging 424.363 Person th from Dec 1975 (Median) to 2015, with 8 observations. The data reached an all-time high of 804.915 Person th in 2015 and a record low of 73.702 Person th in 1975. Philippines Population: NCR: Metro Manila: Taguig data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G001: Population: Census 2010.

Based on the 2020 census, the capital city of Manila had the highest population density among other cities and municipalities in Metro Manila in the Philippines, with about ****** people per square kilometer. In contrast, the municipality of Pateros, which is the only remaining municipality in the region, had a population density of about ***** per square kilometers.

Based on the 2020 census, Quezon City was the most populous city in Metro Manila in the Philippines, with about 2.96 million inhabitants. The capital city of Manila, on the other hand, registered about 1.85 million people in the same year. In contrast, the municipality of Pateros, which is the only remaining municipality in the region, had a population of about 65 thousand.

Philippines Population: NCR: Metro Manila: Pasay City data was reported at 416.522 Person th in 2015. This records a decrease from the previous number of 669.773 Person th for 2010. Philippines Population: NCR: Metro Manila: Pasay City data is updated yearly, averaging 385.715 Person th from Dec 1975 (Median) to 2015, with 8 observations. The data reached an all-time high of 669.773 Person th in 2010 and a record low of 254.999 Person th in 1975. Philippines Population: NCR: Metro Manila: Pasay City data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G001: Population: Census 2010.

Philippines Population: NCR: Metro Manila: Pateros data was reported at 63.840 Person th in 2015. This records a decrease from the previous number of 64.147 Person th for 2010. Philippines Population: NCR: Metro Manila: Pateros data is updated yearly, averaging 56.346 Person th from Dec 1975 (Median) to 2015, with 8 observations. The data reached an all-time high of 64.147 Person th in 2010 and a record low of 32.821 Person th in 1975. Philippines Population: NCR: Metro Manila: Pateros data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G001: Population: Census 2010.

Historical dataset of population level and growth rate for the Manila, Philippines metro area from 1950 to 2025.

Philippines Population: NCR: Metro Manila: Paranaque City data was reported at 665.822 Person th in 2015. This records an increase from the previous number of 588.126 Person th for 2010. Philippines Population: NCR: Metro Manila: Paranaque City data is updated yearly, averaging 420.553 Person th from Dec 1975 (Median) to 2015, with 8 observations. The data reached an all-time high of 665.822 Person th in 2015 and a record low of 158.974 Person th in 1975. Philippines Population: NCR: Metro Manila: Paranaque City data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G001: Population: Census 2010.

Philippines Population: NCR: Metro Manila: City of Muntinlupa data was reported at 504.509 Person th in 2015. This records an increase from the previous number of 459.941 Person th for 2010. Philippines Population: NCR: Metro Manila: City of Muntinlupa data is updated yearly, averaging 389.578 Person th from Dec 1975 (Median) to 2015, with 8 observations. The data reached an all-time high of 504.509 Person th in 2015 and a record low of 94.563 Person th in 1975. Philippines Population: NCR: Metro Manila: City of Muntinlupa data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G001: Population: Census 2010.

Based on the 2021 census conducted in the Philippines, the household population in Metro Manila or the National Capital Region (NCR) reached **** million, indicating an increase from the previous year. The number of households in the region gradually increased since the 2009 census.

Abstract

The Labor Force Survey is a nationwide survey of households conducted regularly to gather data on the demographic and socio-economic characteristics of the population. It is primarily geared towards the estimation of the levels of employment in the country.

The Labor Force Survey aims to provide a quantitative framework for the preparation of plans and formulation of policies affecting the labor market. Specifically, the survey is designed to provide statistics on levels and trends of employment, unemployment and underemployment for the Philippines, as a whole and for each of the administrative regions, including provinces and key cities.

Geographic coverage

National coverage, the sample design has been drawn in such a way that accurate lower level classification would be possible. The 73 provinces, 14 cities of the Philippines are covered.

Analysis unit

• Person/ individual

Universe

The survey covered all persons 10 years old and over. Persons who reside in institutions are not covered.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling design of the Labor Force Survey adopts that of the Integrated Survey of Households (ISH), which uses a stratified two-stage sampling design. It is prepared by the NEDA Technical Committee on Survey Design and first implemented in 1984. It is the same sampling design used in the ISH modules starting in 1986.

The urban and rural areas of each province are the principal domains of the survey. In addition, the urban and rural areas of cities with a population of 150,000 or more as of 1980 are also made domains of the survey. These cities are the four cities in Metro Manila (Manila, Quezon City, Pasay and Caloocan); and the cities of Angeles, Olongapo,, Bacolod, Iloilo, Cebu, Zamboanga, Butuan, Cagayan de Oro, Davao, and Iligan.

The rest of Metro Manila, i.e., Pasig, Makati and the 11 other municipalities, are treated as three separate domains. In the case of Makati, six exclusive villages are identified and samples are selected using a different scheme. These villages are Forbes Park, Bel-Air, Dasmarinas, San Lorenzo, Urdaneta and Magallanes.

Sampling Units and Sampling Frame The primary sampling units (PSUs) under the sample design are the barangays and the households within each sample barangay comprise the secondary sampling units (SSUs). The frame from which the sample barangays are drawn is obtained from the 1980 Census of Population and Housing (CPH). Hence, all the approximately 40,000 barangays covered in the 1980 CPH are part of the primary sampling frame. The sampling frame for the SSUs, that is, the households, is prepared by listing all households in each of the selected sample barangays. The listing operation is conducted regularly in the sample barangays to update the secondary sampling frame from where the sample households are selected.

Sample Size and Sampling Fraction The size of the sample is envisioned to meet the demand for fairly adequate statistics at the domain level. Taking this need into account and considering cost constraints as well, the decision reached is for a national sample of about 20,000 households. In general, the sample design results in self-weighting samples within domains, with a uniform sampling fraction of 1:400 for urban and 1:600 for rural areas. However, special areas are assigned different sampling fractions so as to obtain "adequate" samples for each. Special areas refer to the urban and rural areas of a province or large city which are small relative to their counterparts.

Selection of Samples For the purpose of selecting PSUs, the barangay in each domain are arranged by population size (as of the 1980 Census of Population) in descending order and then grouped into strata of approximately equal sizes. Four independent PSUs are drawn with probability proportional to size with complete replacement.

Secondary sampling units are selected systematiclally with a random start.

Sampling deviation

Replacement of non-responding or transferred sample households is allowed although it is still possible to have non-response cases due to critical peace and order situation or inaccessibility of the selected sample households. If there are unenumerated barangays or sample households, non-response adjustments are utilized.

Mode of data collection

Face-to-face [f2f]

Research instrument

The items of information presented in the January 1991 Quarterly Labor Force Survey questionnaire were derived from a structured questionnaire covering the demographic and economic characteristics of individuals. The demographic characteristics include age, sex, relationship to household head, marital status, and highest grade completed. The economic characteristics include employment status, occupation, industry, nomal working hours, total hours worked, class of worker, etc.

Cleaning operations

Data processing involves two stages: manual processing and machine processing. Manual processing refers to the manual editing and coding of questionnaires. This was done prior to machine processing which entailed code validation, consistency checks as well as tabulation.

Enumeration is a very complex operation and may happen that accomplished questionnaires may have some omissions and implausible or inconsistent entries. Editing is meant to correct these errors.

For purposes of operational convenience, field editing was done. The interviewers were required to review the entries at the end of each interview. Blank items, which were applicable to the respondents, were verified and filled out. Before being transmitted to the regional office, all questionnaires were edited in the field offices.

Coding, the transformation of information from the questionnaire to machine readable form, was likewise done in the field offices.

Machine processing involved all operations that were done with the use of a computer and/or its accessories, that is, from data encoding to tabulation. Coded data are usually in such media as tapes and diskettes. Machine editing is preferred to ensure correctness of encoded information. Except for sample completeness check and verification of geographic identification which are the responsibility of the subject matter division, some imputations and corrections of entries are done mechanically.

Response rate

The response rate for January 1991 LFS was 99.91 percent. The non-response rate of 0.09 percent was due to crticial peace and order situation or inaccessibility of the selected sample or sample households.

Sampling error estimates

Standard Error (SE) and Coefficient of Variation (CV) for the selected variables of the Labor Force Survey (LFS) for January 1991 survey round was computed using the statistical package IMPS. The selected variables referred to include the employment, unemployment and labor force population levels and rates.

A sampling error is usually measured in terms of the standard error for a particular statistic. A standard error is a measure of dispersion of an estimate from the expected value.

The SE can be used to calculate confidence intervals within which the true value for the population can be estimated, while the CV is a measure of relative variability that is commonly used to assess the precision of survey estimates.

The CV is defined as the ratio of the standard error and the estimate. An estimate with CV value of less than 10 percent is considered precise.