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 majority of male population, with 53.41% 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

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

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, UT was for the group of age 15 to 19 years years with a population of 71 (16.71%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Manila, UT was the 85 years and over years with a population of 0 (0%). 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 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

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

As of February 2025, there were **** million TikTok users in the Philippines that marketers can reach with ads, indicating an increase from the previous reporting period. TikTok is one of the most used social media platforms among Filipino internet users.

Unemployment Rate in Philippines decreased to 3.70 percent in June from 3.90 percent in May 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 data for the Manila, AR 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, AR, is 45.4.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Manila, AR, is 22.1.
• Total dependency ratio for Manila, AR is 67.5.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Manila, AR is 4.5.

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

The Philippine e-commerce market, valued at $15.51 billion in 2025, exhibits robust growth potential, projected to expand at a Compound Annual Growth Rate (CAGR) of 13.78% from 2025 to 2033. This dynamic expansion is driven by increasing internet and smartphone penetration, a burgeoning young and digitally savvy population, and a growing preference for online shopping convenience. The market is segmented across B2C and B2B sectors, with B2C dominating due to rising consumer spending and diverse product categories. Key product segments within B2C include Beauty & Personal Care, Consumer Electronics, Fashion & Apparel, Food & Beverage, Furniture & Home, and Others (Toys, DIY, Media etc.). The strong presence of both established international players like Lazada, Shopee, and eBay, and local e-commerce businesses like BeautyMNL and Metrodeal, fosters competition and innovation, shaping the market's trajectory. Growth is further fueled by evolving logistics infrastructure improvements, a wider adoption of digital payment systems, and targeted marketing strategies addressing the unique preferences of Filipino consumers. However, challenges remain, including concerns about secure online transactions, digital literacy gaps in certain demographics, and the need for consistent improvements in delivery reliability, particularly in remote areas. The projected market size for 2033, extrapolated from the provided CAGR and 2025 value, indicates significant growth. To illustrate, if the 13.78% CAGR remains constant, the market could reach approximately $55 billion by 2033. However, this projection assumes consistent economic growth and no significant unforeseen disruptions. Factors such as inflation, regulatory changes, and evolving consumer behavior can influence actual market performance. A deeper dive into segment-specific growth rates, particularly analyzing the contribution of each product category (Beauty & Personal Care, Consumer Electronics, etc.) to the overall market expansion, would provide more granular insights into growth drivers and opportunities within the Philippine e-commerce landscape. Further analysis of consumer demographics, purchasing patterns, and regional variations in adoption would also be valuable for strategic decision-making. Recent developments include: July 2022 - eBay and FedEx partner to strengthen delivery services in the Asia Pacific, offering service options at competitive prices. The partnership would allow eBay sellers to avail of premium delivery options through FedEx, including cross-border services like FedEx Ecletrocinc Trade Documents and FedEx Home Delivery for delivery and returns., June 2022 - Shopee expanded Shopee Xpress hubs across Mindanao, along with seller-onboarding initiatives. These new hubs were established in Davao Del Sur, Davao City, Davao Del Norte, and other areas, which implied a shorter time for Davao to Davao deliveries. The seller initiatives encouraged sellers to use the E-commerce platform for nationwide reach and business., May 2022 - Lazada Philippines partnered with GrabExpress to launch Same Day Delivery, starting from Metro Manila. The Same Day Delivery aims to reduce the standard waiting time of 3-5 days to receive the purchases to just a few hours, including commodities like groceries, party supplies, etc.. Key drivers for this market are: Growing Demand from Fashion Industry, Penetration of Internet and Smartphone Usage. Potential restraints include: Growing Demand from Fashion Industry, Penetration of Internet and Smartphone Usage. Notable trends are: Fashion Industry to Dominate the Market Significantly.

The Philippines small kitchen appliances market was valued at USD 223.93 Million in 2024. The growing popularity of home-based food businesses and online food selling platforms in the Philippines is boosting demand for small kitchen appliances. Entrepreneurs increasingly invest in stand mixers, food processors, and induction cookers to support efficient production, especially amid rising digital food commerce. This trend is fostering appliance upgrades even in lower to middle-income households. The market is expected to grow at a CAGR of 6.80% during the forecast period of 2025-2034 to reach a value of USD 432.34 Million by 2034.

The rise of condominium living across urban centres in the Philippines is uniquely driving growth in the small kitchen appliances market. With limited kitchen space in high-rise units, consumers increasingly seek compact, multifunctional appliances. For instance, slim air fryers, mini rice cookers, and under-cabinet toasters are gaining popularity among condo residents in Metro Manila. This lifestyle shift encourages manufacturers to innovate space-efficient designs, aligning with the evolving preferences of a growing urban population prioritizing convenience, minimalism, and practical home solutions, thereby driving the growth of Philippines small kitchen appliances market.

The Philippines market for small kitchen appliances is also being reshaped by rising urban migration. According to the Philippine Statistics Authority, the urban population rose by 7.2 million, leading to higher appliance demand in compact city homes. This shift is encouraging purchases of multifunctional and space-saving kitchen tools that suit tight urban living spaces, particularly in cities like Metro Manila and Cebu.

Consumer preference is shifting toward energy-efficient appliances owing to the Department of Energy’s Minimum Energy Performance Standard (MEPS) programme. For example, in 2023, the DOE mandated MEPS compliance for refrigerators and air conditioners, prompting brands like Panasonic and Sharp to launch inverter refrigerators with energy-saving certifications. This led to a noticeable uptake in compliant models, particularly in Metro Manila, as households sought to lower electricity bills while meeting government efficiency standards. The policy is expanding to other appliances, reinforcing this consumer trend.

Start-ups and regional manufacturers are tailoring products to local cooking habits, boosting the Philippines small kitchen appliances market development. For instance, mini rice cookers with built-in steamer trays are gaining popularity in small condos and apartments. In 2023, the DTI (Department of Trade and Industry) reported an 8.82% increase in SME brands integrating local design innovation into product offerings, often combining two or more cooking functions in one device.

As e-commerce penetration expands, even traditional kitchen brands are digitising their product line-ups. Local companies in the Philippines small kitchen appliances market are embedding AI into air fryers and food processors to attract younger, tech-driven consumers. There is also a growing push for “smart budget” appliances, cost-efficient models that offer IoT compatibility and mobile app controls. This hybrid trend is being actively promoted by the DICT (Department of Information and Communications Technology), which is subsidising IoT R&D for local appliance manufacturers.

The Philippines Telecom market, valued at $5.58 billion in 2025, is projected to experience steady growth, exhibiting a Compound Annual Growth Rate (CAGR) of 3.28% from 2025 to 2033. This growth is driven by increasing smartphone penetration, rising internet usage fueled by a young and tech-savvy population, and the expanding adoption of mobile financial services. The market is segmented by service type, encompassing voice services (both wired and wireless), data services, and the rapidly expanding OTT and Pay-TV sectors. Key players like PLDT, Smart Communications, Globe Telecom, DITO Telecommunity, and others are vying for market share, investing heavily in network infrastructure upgrades to meet the escalating demand for high-speed internet and robust mobile connectivity. Competitive pricing strategies and the introduction of innovative bundled packages are prominent trends shaping the market landscape. However, challenges remain, including the need for further infrastructure development in underserved areas, ensuring digital literacy across the population, and navigating the regulatory landscape to foster healthy competition and investment. The market's future trajectory will depend on the success of these players in addressing these challenges and capitalizing on the opportunities presented by the country's burgeoning digital economy. The forecast period of 2025-2033 presents significant opportunities for telecom operators to expand their service offerings and penetrate new market segments. The growing demand for 5G services will likely be a major driver, along with increasing adoption of IoT devices and the expansion of cloud-based services. The government's initiatives to promote digital inclusion and infrastructure development will also play a significant role in shaping market dynamics. Competition among existing players, as well as the potential entry of new players, will further intensify. Analyzing the historical performance (2019-2024) reveals a strong underlying growth trend, suggesting a positive outlook for the future. Successful players will need to adapt to evolving consumer preferences, prioritize customer experience, and strategically invest in emerging technologies to maintain competitiveness and secure market leadership. Recent developments include: March 2022: DITO Telecommunity launched a wireless home broadband service in select areas in the National Capital Region (NCR), Metro Manila. The 5G infrastructure will improve the revenue of the company., May 2022: PLDT announced plans to migrate from copper wire and hybrid-fiber broadband to full fiber by 2023. Furthermore, all users can migrate to full-fiber broadband services by the end of 2023., October 2022: Globe Telecom has deployed 252 5G-ready base stations in Mindanao. The ongoing 5G network deployment will create growth opportunities for the company.. Key drivers for this market are: Growing demand for Fixed Broadband Services, Rising demand for 5G; Growth of IoT usage in Telecom. Potential restraints include: Growing demand for Fixed Broadband Services, Rising demand for 5G; Growth of IoT usage in Telecom. Notable trends are: Growing Demand for Fixed Broadband Services.

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

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

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): 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

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Manila. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Manila. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2023

In terms of income distribution across age cohorts, in Manila, the median household income stands at $119,500 for householders within the 25 to 44 years age group, followed by $63,355 for the 45 to 64 years age group. Notably, householders within the 65 years and over age group, had the lowest median household income at $37,647.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific 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 median household income by age. You can refer the same here

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

About this dataset

Context

The dataset presents the mean household income for each of the five quintiles in Manila, AR, as reported by the U.S. Census Bureau. The dataset highlights the variation in mean household income across quintiles, offering valuable insights into income distribution and inequality.

Key observations

• Income disparities: The mean income of the lowest quintile (20% of households with the lowest income) is 18,530, while the mean income for the highest quintile (20% of households with the highest income) is 308,659. This indicates that the top earners earn 17 times compared to the lowest earners.
• *Top 5%: * The mean household income for the wealthiest population (top 5%) is 473,261, which is 153.33% higher compared to the highest quintile, and 2554.03% higher compared to the lowest quintile.

Content

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

Income Levels:

• Lowest Quintile
• Second Quintile
• Third Quintile
• Fourth Quintile
• Highest Quintile
• Top 5 Percent

Variables / Data Columns

• Income Level: This column showcases the income levels (As mentioned above).
• Mean Household Income: Mean household income, in 2023 inflation-adjusted dollars for the specific income level.

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. You can refer the same here