About this dataset

Context

The dataset tabulates the population of Manila by gender, including both male and female populations. This dataset can be utilized to understand the population distribution of Manila across both sexes and to determine which sex constitutes the majority.

Key observations

There is a slight majority of male population, with 52.14% of total population being male. Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis. No further analysis is done on the data reported from the Census Bureau.

Variables / Data Columns

• Gender: This column displays the Gender (Male / Female)
• Population: The population of the gender in the Manila is shown in this column.
• % of Total Population: This column displays the percentage distribution of each gender as a proportion of Manila total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Manila Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the Manila population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Manila. The dataset can be utilized to understand the population distribution of Manila by age. For example, using this dataset, we can identify the largest age group in Manila.

Key observations

The largest age group in Manila, AR was for the group of age Under 5 years years with a population of 547 (14.88%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Manila, AR was the 35 to 39 years years with a population of 16 (0.44%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Manila is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Manila total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Manila Population by Age. You can refer the same here

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.

About this dataset

Context

The dataset tabulates the data for the Manila, UT population pyramid, which represents the Manila population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Manila, UT, is 31.5.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Manila, UT, is 15.6.
• Total dependency ratio for Manila, UT is 47.1.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Manila, UT is 6.4.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Manila population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Manila for the selected age group is shown in the following column.
• Population (Female): The female population in the Manila for the selected age group is shown in the following column.
• Total Population: The total population of the Manila for the selected age group is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Manila Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Manila by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Manila. The dataset can be utilized to understand the population distribution of Manila by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Manila. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Manila.

Key observations

Largest age group (population): Male # 15-19 years (63) | Female # 45-49 years (36). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Manila population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Manila is shown in the following column.
• Population (Female): The female population in the Manila is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Manila for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Manila Population by Gender. You can refer the same here

About this dataset

Context

The dataset tabulates the Manila population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Manila. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 252 (59.29% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Manila population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Manila is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Manila is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Manila Population by Age. You can refer the same here

Philippines Coffee Market Outlook

The global coffee market size is projected to reach USD 134.25 billion by 2032, growing at a CAGR of 4.6% from 2023’s market size of USD 97.5 billion. The Philippines coffee market is expected to mirror this global trend, driven by increasing consumer demand, evolving coffee culture, and rising incomes. The market size in the Philippines is also anticipated to experience significant growth over the forecast period, making it a lucrative segment within the global industry.

One of the primary growth factors in the Philippines coffee market is the rising urbanization and changing consumer preferences. As more individuals move to urban areas, there is an increased exposure to diverse coffee cultures and modern coffee consumption habits. The younger generation, in particular, is showing a growing preference for coffee, influenced by Western coffee culture and the proliferation of coffee shops. Additionally, the increasing disposable income among the population is allowing them to spend more on premium and specialty coffee products.

Another significant factor contributing to the market’s growth is the development of the local coffee industry. The Philippines has a rich history of coffee cultivation, and efforts to revitalize coffee farming are underway. Government initiatives and partnerships with private entities aim to enhance coffee production, improve quality, and support local farmers. This not only boosts the supply chain but also encourages the consumption of locally grown coffee, contributing to the market's overall expansion.

The advent of e-commerce and digital platforms has also played a crucial role in shaping the coffee market in the Philippines. Online stores offer a broad range of coffee products, from instant coffee to premium beans, catering to varying consumer preferences. The convenience of online shopping, coupled with the widespread use of smartphones and internet penetration, has made it easier for consumers to access a diverse array of coffee products, thus driving market growth.

Regionally, Luzon accounts for the largest share of the coffee market in the Philippines, driven by its higher population density and more significant urban centers. The coffee culture is well-established in Metro Manila and other major cities, contributing to higher consumption rates. However, Visayas and Mindanao are also showing promising growth due to increasing urbanization and local coffee production efforts. These regions are expected to witness a steady rise in coffee demand, further bolstering the overall market.

Product Type Analysis

The Philippines coffee market is segmented by product type into Instant Coffee, Ground Coffee, Whole Bean Coffee, Coffee Pods and Capsules, and Others. Instant coffee remains a popular choice among consumers due to its convenience and affordability. It is particularly favored by busy professionals and those who prefer quick and easy coffee preparation methods. The convenience factor has kept instant coffee in high demand, and manufacturers continue to innovate with new flavors and packaging to attract more consumers.

Ground coffee, on the other hand, appeals to traditional coffee drinkers who value the authentic brewing experience. The quality and flavor of ground coffee are often seen as superior to instant coffee, making it a preferred choice for many coffee enthusiasts. The increasing number of coffee shops and cafes in urban areas has also popularized ground coffee consumption, with many consumers looking to replicate their favorite café beverages at home.

Whole bean coffee is gaining traction among coffee connoisseurs who prioritize freshness and the ability to customize their grind size. This segment appeals to a niche market of coffee aficionados who invest in coffee grinders and other brewing equipment. The rise in home-brewing trends, fueled by the COVID-19 pandemic, has further boosted the demand for whole bean coffee as people seek high-quality coffee experiences at home.

Coffee pods and capsules have revolutionized the coffee market with their convenience and consistent quality. These products cater to consumers seeking an easy and mess-free coffee-making process. The growing popularity of single-serve coffee machines has significantly driven the demand for coffee pods and capsules. However, environmental concerns regarding the disposal of these single-use products have led to increased interest in recyclable and biodegradable options.

The ‘Others’ c

Unemployment Rate in Philippines decreased to 3.90 percent in May from 4.10 percent in April of 2025. This dataset provides - Philippines Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

About this dataset

Context

The dataset tabulates the population of Manila by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Manila. The dataset can be utilized to understand the population distribution of Manila by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Manila. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Manila.

Key observations

Largest age group (population): Male # 0-4 years (326) | Female # 0-4 years (221). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Manila population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Manila is shown in the following column.
• Population (Female): The female population in the Manila is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Manila for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Manila Population by Gender. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Manila by race. It includes the population of Manila across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Manila across relevant racial categories.

Key observations

The percent distribution of Manila population by race (across all racial categories recognized by the U.S. Census Bureau): 96.54% are white, 0.46% are Black or African American and 2.99% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Manila
• Population: The population of the racial category (excluding ethnicity) in the Manila is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Manila total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Manila Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Manila by race. It includes the population of Manila across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Manila across relevant racial categories.

Key observations

The percent distribution of Manila population by race (across all racial categories recognized by the U.S. Census Bureau): 95.06% are white, 0.47% are American Indian and Alaska Native, 0.24% are some other race and 4.24% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Manila
• Population: The population of the racial category (excluding ethnicity) in the Manila is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Manila total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Manila Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the Non-Hispanic population of Manila by race. It includes the distribution of the Non-Hispanic population of Manila across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Manila across relevant racial categories.

Key observations

With a zero Hispanic population, Manila is 100% Non-Hispanic. Among the Non-Hispanic population, the largest racial group is White alone with a population of 3,548 (96.54% of the total Non-Hispanic population).

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the Manila
• Population: The population of the racial category (for Non-Hispanic) in the Manila is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Manila total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Manila Population by Race & Ethnicity. You can refer the same here

The number of users in the e-commerce market in the Philippines was forecast to continuously increase between 2025 and 2029 by in total 15.9 million users (+101.02 percent). After the ninth consecutive increasing year, the number of users is estimated to reach 31.6 million users and therefore a new peak in 2029. Notably, the number of users of the e-commerce market was continuously increasing over the past years.Find further information concerning the number of users in the e-commerce market in Morocco and the average revenue per user in the e-commerce market in Germany. The Statista Market Insights cover a broad range of additional markets.

About this dataset

Context

The dataset presents the detailed breakdown of the count of individuals within distinct income brackets, categorizing them by gender (men and women) and employment type - full-time (FT) and part-time (PT), offering valuable insights into the diverse income landscapes within Manila. The dataset can be utilized to gain insights into gender-based income distribution within the Manila population, aiding in data analysis and decision-making..

Key observations

• Employment patterns: Within Manila, among individuals aged 15 years and older with income, there were 1,191 men and 1,147 women in the workforce. Among them, 706 men were engaged in full-time, year-round employment, while 641 women were in full-time, year-round roles.
• Annual income under $24,999: Of the male population working full-time, 2.97% fell within the income range of under $24,999, while 11.23% of the female population working full-time was represented in the same income bracket.
• Annual income above $100,000: 41.93% of men in full-time roles earned incomes exceeding $100,000, while 0.47% of women in full-time positions earned within this income bracket.
• Refer to the research insights for more key observations on more income brackets ( Annual income under $24,999, Annual income between $25,000 and $49,999, Annual income between $50,000 and $74,999, Annual income between $75,000 and $99,999 and Annual income above $100,000) and employment types (full-time year-round and part-time)

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income brackets:

• $1 to $2,499 or loss
• $2,500 to $4,999
• $5,000 to $7,499
• $7,500 to $9,999
• $10,000 to $12,499
• $12,500 to $14,999
• $15,000 to $17,499
• $17,500 to $19,999
• $20,000 to $22,499
• $22,500 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $54,999
• $55,000 to $64,999
• $65,000 to $74,999
• $75,000 to $99,999
• $100,000 or more

Variables / Data Columns

• Income Bracket: This column showcases 20 income brackets ranging from $1 to $100,000+..
• Full-Time Males: The count of males employed full-time year-round and earning within a specified income bracket
• Part-Time Males: The count of males employed part-time and earning within a specified income bracket
• Full-Time Females: The count of females employed full-time year-round and earning within a specified income bracket
• Part-Time Females: The count of females employed part-time and earning within a specified income bracket

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Manila median household income by race. You can refer the same here