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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Wayne County, IA
Series ID MHICILBIA19185A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:54 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 15807
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 18333
1994-01-01 .
1995-01-01 18360
1996-01-01 .
1997-01-01 22542
1998-01-01 23860
1999-01-01 26797
2000-01-01 27945
2001-01-01 27410
2002-01-01 27737
2003-01-01 28400
2004-01-01 30625
2005-01-01 31014
2006-01-01 31103
2007-01-01 31169
2008-01-01 32301
2009-01-01 31644
2010-01-01 32983
2011-01-01 34003
2012-01-01 35592
2013-01-01 36571
2014-01-01 38169
2015-01-01 40113
2016-01-01 37021
2017-01-01 40981
2018-01-01 42433
2019-01-01 44338
2020-01-01 45484
2021-01-01 47728
2022-01-01 51140

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