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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Polk County, IA
Series ID MHICIUBIA19153A052NCEN
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 12:51 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 33017
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 39358
1994-01-01 .
1995-01-01 41935
1996-01-01 .
1997-01-01 45689
1998-01-01 48474
1999-01-01 48698
2000-01-01 51641
2001-01-01 51101
2002-01-01 51924
2003-01-01 52140
2004-01-01 54212
2005-01-01 53466
2006-01-01 54392
2007-01-01 55944
2008-01-01 58417
2009-01-01 57063
2010-01-01 56504
2011-01-01 58410
2012-01-01 59904
2013-01-01 61450
2014-01-01 62719
2015-01-01 62392
2016-01-01 66714
2017-01-01 68125
2018-01-01 71165
2019-01-01 69808
2020-01-01 71278
2021-01-01 75527
2022-01-01 80425

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