We determined the most current ZCTA-based population estimates by using data from the 2010 Decennial US Census. Finally, the least populated county, Kaua`i County, consists of the islands of Kaua`i and Ni`ihau, with approximately 67,000 residents. Maui County (including Kalawao County) comprises the islands of Lana`i, Maui, Moloka`i and Kaho`olawe (uninhabited), with a total population of almost 155,000 residents. Hawai`i County, which consists of the island of Hawai`i, has more than 185,000 residents and the lowest population density (8). More than 950,000 reside in Honolulu County, which includes the island of O`ahu and has the highest population density (8). Hawai`i comprises 5 counties, with a total population of 1,360,301 in 2010.
Lowest us zip code code#
We aimed to elucidate variation in life expectancy by ZIP Code Tabulation Area (ZCTA) across Hawai`i. By county, Honolulu County has the highest life expectancy in Hawai`i (3) to date, no subcounty life expectancy estimates for Hawai`i have been published. Historically, Hawai`i has had the highest life expectancy of any state (2). Life expectancy estimates are often used to compare population health across geographic regions because life expectancy is understood by the public, has well-established methodologies, and is influenced by many factors. Visualizing the distribution of health outcomes at small geographic scales, such as neighborhoods and ZIP codes, is therefore critical using subcounty geographic units helps identify neighborhoods with the greatest need for intervention. Geographic areas with a constellation of risk factors, including those related to the social determinants of health, can lead to disproportionately poor health outcomes (1). Areas with poor access to primary health care, compared with areas with good access, have lower levels of use of preventive health services and a higher burden of chronic disease. Neighborhoods with poor access to fresh fruits and vegetables and a high density of fast food restaurants have higher rates of obesity than neighborhoods with good access and a low density. For example, areas that lack sidewalks and safe places to exercise have lower levels of physical activity and higher rates of obesity than areas that have these features. Health disparities are often geographically concentrated.
Įvidence shows that a person’s ZIP Code can affect his or her health. Life expectancy estimates were grouped into quintiles for each county, the ZCTA with the lowest estimate and the ZCTA with the highest estimate are indicated.
The map helps enhance awareness of regions of high need for targeted funding allocation and public health interventions. Despite comparable county-level estimates in Hawai`i, substantial variations in life expectancy exist by ZIP Code Tabulation Area (ZCTA) (14.4 years between the highest life expectancy and the lowest life expectancy), highlighting the importance of examining data at small geographic scales to identify spatial health disparities. Here is a look at the richest town in every state. Not surprisingly, in nearly every ZIP code on this list, the median household income is higher than it is across the state as a whole. The poverty threshold is based on income, and in most of the country, an individual with an annual income of less than $12,8 80, or a family of four earning less than $26,500, is considered to be living in poverty. identified the ZIP code with the lowest poverty rate in every state. Using five-year estimates from the Census’ 2019 ACS, 24/7 Wall St. Of course, the poverty rate varies considerably across the country, and there is at least one town in every state where poverty was virtually nonexistent. Census Bureau’s American Community Survey, 13.4% of the U.S. However, a steep increase will likely be mitigated by the three rounds of federal stimul us payments.Īs of 2019, the most recent year with an official poverty rate released by the U.S. Normally, such an economic shock would result in a spike in the national poverty rate. unemployment rate to 14.8% in April 2020, its hig hest level si nce the Great Depression.
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