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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Keokuk County, IA
Series ID MHICIUBIA19107A052NCEN
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 7:06 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 24840
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29180
1994-01-01 .
1995-01-01 31057
1996-01-01 .
1997-01-01 35085
1998-01-01 35673
1999-01-01 36083
2000-01-01 38111
2001-01-01 37561
2002-01-01 37923
2003-01-01 38645
2004-01-01 41075
2005-01-01 42253
2006-01-01 43179
2007-01-01 46110
2008-01-01 46436
2009-01-01 46145
2010-01-01 46844
2011-01-01 46160
2012-01-01 48393
2013-01-01 51627
2014-01-01 53118
2015-01-01 54219
2016-01-01 54782
2017-01-01 55772
2018-01-01 56592
2019-01-01 59796
2020-01-01 62225
2021-01-01 63448
2022-01-01 70938
2023-01-01 73140
2024-01-01 61207

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