Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Hancock County, ME

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Hancock County, ME
Series ID MHICILBME23009A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2023-01-01
Last Updated 2024-12-20 2:33 AM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 22541
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26890
1994-01-01 .
1995-01-01 28616
1996-01-01 .
1997-01-01 30479
1998-01-01 32041
1999-01-01 33271
2000-01-01 33851
2001-01-01 33340
2002-01-01 34194
2003-01-01 35813
2004-01-01 36343
2005-01-01 40526
2006-01-01 38786
2007-01-01 41961
2008-01-01 44776
2009-01-01 45380
2010-01-01 37680
2011-01-01 42321
2012-01-01 42691
2013-01-01 40915
2014-01-01 42883
2015-01-01 45173
2016-01-01 49918
2017-01-01 47008
2018-01-01 49062
2019-01-01 55405
2020-01-01 54047
2021-01-01 52594
2022-01-01 59691
2023-01-01 68909

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