Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Poweshiek County, IA
Series ID MHICIUBIA19157A052NCEN
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 29412
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33737
1994-01-01 .
1995-01-01 37163
1996-01-01 .
1997-01-01 41161
1998-01-01 42944
1999-01-01 40781
2000-01-01 42919
2001-01-01 42041
2002-01-01 42317
2003-01-01 42609
2004-01-01 44849
2005-01-01 47363
2006-01-01 43080
2007-01-01 53111
2008-01-01 54213
2009-01-01 51722
2010-01-01 52809
2011-01-01 54169
2012-01-01 54809
2013-01-01 54700
2014-01-01 57874
2015-01-01 56990
2016-01-01 56387
2017-01-01 61748
2018-01-01 61563
2019-01-01 64055
2020-01-01 68471
2021-01-01 67643
2022-01-01 75905

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