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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Hancock County, IA
Series ID MHICILBIA19081A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:10 PM 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 23066
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27601
1994-01-01 .
1995-01-01 28987
1996-01-01 .
1997-01-01 32952
1998-01-01 33449
1999-01-01 34977
2000-01-01 36551
2001-01-01 36271
2002-01-01 36882
2003-01-01 38020
2004-01-01 41089
2005-01-01 39445
2006-01-01 39781
2007-01-01 42212
2008-01-01 44277
2009-01-01 43511
2010-01-01 44198
2011-01-01 46732
2012-01-01 45121
2013-01-01 49921
2014-01-01 53658
2015-01-01 51556
2016-01-01 51922
2017-01-01 51564
2018-01-01 55532
2019-01-01 57601
2020-01-01 51964
2021-01-01 54965
2022-01-01 61280
2023-01-01 62779
2024-01-01 61323

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