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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Story County, IA
Series ID MHICILBIA19169A052NCEN
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 1:12 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 27367
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31785
1994-01-01 .
1995-01-01 33278
1996-01-01 .
1997-01-01 37781
1998-01-01 40182
1999-01-01 38508
2000-01-01 39754
2001-01-01 39133
2002-01-01 38819
2003-01-01 39680
2004-01-01 40660
2005-01-01 39855
2006-01-01 42276
2007-01-01 45933
2008-01-01 47030
2009-01-01 44588
2010-01-01 46649
2011-01-01 45185
2012-01-01 47683
2013-01-01 49723
2014-01-01 47492
2015-01-01 49514
2016-01-01 51555
2017-01-01 55943
2018-01-01 53254
2019-01-01 58837
2020-01-01 54451
2021-01-01 60633
2022-01-01 63062

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