Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Mahaska County, IA
Series ID MHICILBIA19123A052NCEN
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 3:14 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 22025
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26865
1994-01-01 .
1995-01-01 28218
1996-01-01 .
1997-01-01 32573
1998-01-01 34849
1999-01-01 35733
2000-01-01 37113
2001-01-01 36086
2002-01-01 35548
2003-01-01 36394
2004-01-01 39305
2005-01-01 39615
2006-01-01 39656
2007-01-01 40590
2008-01-01 42851
2009-01-01 41561
2010-01-01 41540
2011-01-01 43407
2012-01-01 44981
2013-01-01 44895
2014-01-01 44316
2015-01-01 46992
2016-01-01 47498
2017-01-01 50385
2018-01-01 52570
2019-01-01 52930
2020-01-01 52567
2021-01-01 55444
2022-01-01 62998
2023-01-01 63643

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