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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Story County, IA
Series ID MHICIUBIA19169A052NCEN
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 1:11 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 31742
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 36250
1994-01-01 .
1995-01-01 39342
1996-01-01 .
1997-01-01 43905
1998-01-01 46241
1999-01-01 44171
2000-01-01 46318
2001-01-01 45140
2002-01-01 44732
2003-01-01 45089
2004-01-01 46172
2005-01-01 44973
2006-01-01 47121
2007-01-01 52274
2008-01-01 53499
2009-01-01 51743
2010-01-01 51735
2011-01-01 51057
2012-01-01 54899
2013-01-01 57841
2014-01-01 56764
2015-01-01 53898
2016-01-01 59567
2017-01-01 66819
2018-01-01 61674
2019-01-01 69465
2020-01-01 68231
2021-01-01 69641
2022-01-01 74378

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