Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Mahaska County, IA
Series ID MHICIUBIA19123A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:12 AM 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 26490
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31342
1994-01-01 .
1995-01-01 34181
1996-01-01 .
1997-01-01 38589
1998-01-01 40828
1999-01-01 40647
2000-01-01 42906
2001-01-01 41239
2002-01-01 40660
2003-01-01 41238
2004-01-01 44468
2005-01-01 44517
2006-01-01 44824
2007-01-01 47879
2008-01-01 50894
2009-01-01 48481
2010-01-01 48882
2011-01-01 51789
2012-01-01 52429
2013-01-01 53061
2014-01-01 52852
2015-01-01 53678
2016-01-01 56180
2017-01-01 61509
2018-01-01 60414
2019-01-01 65554
2020-01-01 66841
2021-01-01 70108
2022-01-01 74520
2023-01-01 79021

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