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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Kossuth County, IA
Series ID MHICILBIA19109A052NCEN
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 23317
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26502
1994-01-01 .
1995-01-01 27180
1996-01-01 .
1997-01-01 31338
1998-01-01 31177
1999-01-01 32434
2000-01-01 33738
2001-01-01 33818
2002-01-01 34711
2003-01-01 35580
2004-01-01 37860
2005-01-01 36587
2006-01-01 37997
2007-01-01 42568
2008-01-01 42936
2009-01-01 43941
2010-01-01 44003
2011-01-01 42947
2012-01-01 47986
2013-01-01 51156
2014-01-01 47903
2015-01-01 49402
2016-01-01 51730
2017-01-01 49751
2018-01-01 51638
2019-01-01 54209
2020-01-01 58069
2021-01-01 56421
2022-01-01 58855

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