About this dataset

Context

The dataset tabulates the Maui County population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Maui County across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Maui County was 164,183, a 0.11% decrease year-by-year from 2022. Previously, in 2022, Maui County population was 164,359, a decline of 0.27% compared to a population of 164,797 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Maui County increased by 35,390. In this period, the peak population was 167,682 in the year 2019. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Maui County is shown in this column.
• Year on Year Change: This column displays the change in Maui County population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. 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 Maui County Population by Year. You can refer the same here

About this dataset

Context

The dataset tabulates the Maui County population by year. The dataset can be utilized to understand the population trend of Maui County.

Content

The dataset constitues the following datasets

• Maui County, HI Population Dataset: Yearly Figures, Population Change, and Percent Change Analysis

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/.

[Metadata] 2020 Census Designated Places (CDP), with population, for the State of Hawaii, excluding northwest Hawaiian Islands and clipped to the coastline. Source: US Census Bureau, September 2021. For additional information about this layer, please refer to metadata at https://files.hawaii.gov/dbedt/op/gis/data/cdplc20.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.

Graph and download economic data for Net County-to-County Migration Flow (5-year estimate) for Maui County, HI (DISCONTINUED) (NETMIGNACS015009) from 2009 to 2020 about Maui County, HI; HI; migration; flow; Net; 5-year; and population.

About this dataset

Context

The dataset tabulates the data for the Maui County, HI population pyramid, which represents the Maui County 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 Maui County, HI, is 28.2.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Maui County, HI, is 32.1.
• Total dependency ratio for Maui County, HI is 60.3.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Maui County, HI is 3.1.

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 Maui County population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Maui County for the selected age group is shown in the following column.
• Population (Female): The female population in the Maui County for the selected age group is shown in the following column.
• Total Population: The total population of the Maui County 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 Maui County Population by Age. You can refer the same here

Genetic diversity levels, effective population size estimates, and population structure of the endangered Hawaiian hoary bat (Lasiurus semotus, also known as Aeorestes semotus) were examined across the islands of Hawai‘i, Maui, O‘ahu, and Kaua‘i using eighteen nuclear microsatellite loci and one mitochondrial gene from 339 individuals collected between 1988 and 2020. The study extracted DNA for population genetic analyses from tissue samples, collected from live bats captured as part of ongoing field studies or under rehabilitation care, from bat carcasses collected by local federal and state wildlife agencies and wind energy facilities, and from dried skin specimens at the Bernice Pauahi Bishop Museum. A region of the mitochondrial CO1 gene was sequenced in 321 individuals and eighteen nuclear microsatellite loci were amplified from 298 individuals. This data release contains three data files: (1) microsatellite allele fragment size data, (2) mitochondrial DNA CO1 sequences, and ...

Our objectives were to examine the population history of axis deer on Maui, estimate observed population growth, and then use species-specific demographic parameters in a VORTEX population viability analysis to examine removal scenarios that would most effectively reduce the population. Only nine deer were introduced in 1959, but recent estimates of >10,000 deer suggest population growth rates (r) ranging between 0.147 and 0.160 although at least 11,200 have been removed by hunters and resource managers. In the VORTEX simulations, we evaluated an initial population size of 6,000 females and 4,000 males, reflecting the probable 3F:2M sex ratio on Maui because of male biased hunting. Scenarios were modeled over a 10-year period with removal rates of 10%, 20%, and 30% of each annual population estimate, considering both growth and removals. A removal rate of 10% the annual population estimate (1,000 deer in the first year), and an evenly distributed effort that would remove an approximate ratio of 3F:2M resulted in a positive growth rate of 0.103 ± 0.001. A 20% removal rate resulted in only a slight negative growth, while a 30% removal rate dropped the estimate to 2,759 ± 15 deer in 10 years. By increasing the ratio of females removed to 4F:1M in the 30% removals scenario, the rate of decline nearly doubled and resulted in a mean population of 1,086 ± 15 deer. Our results indicate that effectively reducing an axis deer population would require an annual removal of approximately 20–30% of the estimated population and maintaining a ratio of 4F:1M would result in the steepest population decline.

Percent of Population Below the Poverty Level (5-year estimate) in Maui County, HI was 9.80% in January of 2023, according to the United States Federal Reserve. Historically, Percent of Population Below the Poverty Level (5-year estimate) in Maui County, HI reached a record high of 11.40 in January of 2014 and a record low of 9.00 in January of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for Percent of Population Below the Poverty Level (5-year estimate) in Maui County, HI - last updated from the United States Federal Reserve on June of 2025.

Genetic diversity levels, population structure, and effective population size estimates of the endangered Hawaiian hoary bat (Lasiurus semotus, also known as Aeorestes semotus) were examined across the islands of Hawai‘i, Maui, O‘ahu, and Kaua‘i using eighteen nuclear microsatellite loci and one mitochondrial gene from 339 individuals collected between 1988 and 2020. The study extracted DNA for population genetic analyses from tissue samples, collected from live bats captured as part of ongoing field studies or under rehabilitation care, from bat carcasses collected by local federal and state wildlife agencies and wind energy facilities, and from dried skin specimens at the Bernice Pauahi Bishop Museum. A region of the mitochondrial CO1 gene was sequenced in 321 individuals and eighteen nuclear microsatellite loci were amplified from 298 individuals. This dataset contains tissue collection site information and genetic testing groupings for the 339 individual bat samples used in t ...

About this dataset

Context

The dataset tabulates the median household income in Maui County. It can be utilized to understand the trend in median household income and to analyze the income distribution in Maui County by household type, size, and across various income brackets.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Maui County, HI Median Household Income Trends (2010-2021, in 2022 inflation-adjusted dollars)
• Median Household Income Variation by Family Size in Maui County, HI: Comparative analysis across 7 household sizes
• Income Distribution by Quintile: Mean Household Income in Maui County, HI
• Maui County, HI households by income brackets: family, non-family, and total, in 2022 inflation-adjusted dollars

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/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Maui County median household income. You can refer the same here

To support a long-term NOAA Coral Reef Conservation Program (CRCP) for sustainable management and conservation of coral reef ecosystems, from 16 October - 14 November 2008, belt transect surveys of coral population and diseases quantitative assessments were conducted, as a part of Rapid Ecological Assessments (REA), during the Pacific Reef Assessment and Monitoring Program (RAMP) Cruise OES0810 in the Main Hawaiian Islands at biennial intervals by the Coral Reef Ecosystem Division (CRED) at the NOAA Pacific Islands Fisheries Science Center (PIFSC). During the cruise, there were 13 surveys in total conducted at REA sites around Maui Island in the Main Hawaiian Islands. At the specific REA sites, coral biologists along with fish biologists, algal biologists and marine invertebrate zoologist entered the water and conducted a fine-scale (~300 m2) and high degree of taxonomic resolution REA survey to assess and monitor species composition, abundance, percent cover, size distribution, diversity, and general health of fish, corals, macro-invertebrates, and algae in shallow-water (< 35 m) habitats. As a part of REA surveys, the coral belt surveys were focused on quantifying the diversity, abundance, density, and size-class distribution of the anthozoan and hydrozoan corals as well as the condition and health state of the coral reef populations. The surveys were conducted along two consecutively-placed, 25m transect lines. The belt width was dictated at the beginning of each dive by subjective perceived colony density: 1-m width was used in high density areas, while 2-m width was used in low density areas. Within each 25m transect, five 2.5-meter segments were surveyed (beginning at points: 0, 5, 10, 15, and 20 meters), whereby in each segment, all coral colonies whose center fell within 0.5m of either side of the transect line were identified to the lowest taxonomic level possible (genus or species) and two planar size metrics were collected: maximum diameter and diameter perpendicular to the maximum diameter. In addition, the extent of mortality, both recent and old, was estimated for each colony. Observers paid special attention to identifying as best as possible the extent of the former live colony. When a coral colony exhibited signs of disease or compromised health, additional information was recorded including type of affliction (bleaching, skeletal growth anomaly, white syndrome, tissue loss other than white syndrome, trematodiasis, necrosis, other, pigmentation responses, algal overgrowth, and predation), severity of the affliction (mild, moderate, marked, severe, acute), as well as photographic documentation and sometimes tissue samples. Tissue samples were catalogued and fixed in buffered zinc-formalin solution for further histopathological analyses. Raw survey data included species presence and relative abundance, colony counts per taxon, size (width and length), mortality, predation, and health status. A surveyed area was ranging from 10m2 to 25m2 per site.

To support a long-term NOAA Coral Reef Conservation Program (CRCP) for sustainable management and conservation of coral reef ecosystems, from 20101007 to 20101105, belt transect surveys of coral population and diseases quantitative assessments were conducted, as a part of Rapid Ecological Assessments (REA), during the Pacific Reef Assessment and Monitoring Program (RAMP) cruise HA1008 in Main Hawaiian Islands at biennial intervals by the Coral Reef Ecosystem Division (CRED) at the NOAA Pacific Islands Fisheries Science Center (PIFSC). During the cruise, there were 15 surveys in total conducted at REA sites around Maui. At the specific REA sites, coral biologists along with algal biologists and marine invertebrate zoologist entered the water and conducted a fine-scale (approximately 300 m^2) and high degree of taxonomic resolution REA survey to assess and monitor species composition, abundance, percent cover, size distribution, diversity, and general health of corals, macro-invertebrates, and algae in shallow-water (less than 35 m) habitats. As a part of REA surveys, the coral belt surveys were focused on quantifying the diversity, abundance, density, and size-class distribution of the anthozoan and hydrozoan corals as well as the condition and health state of the coral reef populations. The surveys were conducted along two consecutively-placed, 25 m transect lines. The belt width was 1 m wide, 0.5 m on each side of the transect line. Within each 25 m transect, five 2.5 m segments were surveyed (beginning at points: 0, 5, 10, 15, and 20 meters), whereby in each segment, all coral colonies whose center fell within 0.5 m of either side of the transect line were identified to the lowest taxonomic level possible (genus or species) and two planar size metrics were collected: maximum diameter and diameter perpendicular to the maximum diameter. In addition, the extent of mortality, both recent and old, was estimated for each colony. Observers paid special attention to identifying as best as possible the extent of the former live colony. When a coral colony exhibited signs of disease or compromised health, additional information was recorded including type of affliction (bleaching, skeletal growth anomaly, white syndrome, tissue loss other than white syndrome, trematodiasis, necrosis, other, pigmentation responses, algal overgrowth, and predation), severity of the affliction (mild, moderate, marked, severe, acute), as well as photographic documentation and occasional tissue samples. Tissue samples were cataloged and fixed in buffered zinc-formalin solution for further histopathological analyses. Raw survey data included species presence and relative abundance, colony counts per taxon, size (width and length), mortality, predation, and health status. A surveyed area was ranging from 10 m^2 to 25 m^2 per site.

The field data described herein are part of a joint NESDIS-NMFS project aimed at advancing the understanding of the occurrence, abundance, and outbreak of coral bleaching and disease in the Hawaiian Archipelago through expanded field surveys and in-situ and remotely-sensed temperature data. To this end Line-Point-Intercept (LPI), belt-transect surveys of coral population, and diseases quantitative assessments were conducted on MAUI in the MAIN HAWAIIAN ISLANDS by the Coral Reef Ecosystem Division (CRED) at the NOAA Pacific Islands Fisheries Science Center (PIFSC) and partners. At the specific sites, coral biologists conducted Line-Point-Intercept (LPI) and coral belt surveys, focused at quantifying the composition, relative abundance, density, and size-class distribution of the anthozoan and hydrozoan corals, as well as the condition and health state of the coral populations. The surveys were conducted along two consecutively-placed, 25m transect lines. The LPI surveys documented the composition of the coral reef community at 25 or 50cm intervals, for 50 or 100 points per transect. The belt width was 1-m wide (0.5-m on each side of the transect line), for community structure assessments, and 1 or 2 m wide (0.5 or 1.0 m on each side of the transect line), for coral condition and health surveys. Within each 25m transect, up to 15, 1.0-meter segments were surveyed, whereby in each segment, all coral colonies whose center fell within 0.5m of either side of the transect line were identified to the lowest taxonomic level possible (genus or species) and colony size visually estimated and binned by its maximum diameter in one of 7 size classes: 0-5cm, 5-10cm, 10-20cm, 20-40cm, 40-80cm, 80-160cm, or >160cm. When a coral colony exhibited signs of disease or compromised health, additional information was recorded including type of affliction (bleaching, skeletal growth anomaly, white syndrome, tissue loss other than white syndrome, trematodiasis, necrosis, other, pigmentation responses, algal overgrowth, and predation), severity of the affliction (mild, moderate, marked, severe, acute), as well as photographic documentation and sometimes tissue samples. Raw survey data included species presence and relative abundance, colony counts per taxon, size (width and length), mortality, predation, and health status. The surveyed area ranged from 25m2 to 50m2 per site.