Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Calhoun County, IA
Series ID MHICILBIA19025A052NCEN
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 20939
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25068
1994-01-01 .
1995-01-01 26789
1996-01-01 .
1997-01-01 29795
1998-01-01 29043
1999-01-01 31012
2000-01-01 32144
2001-01-01 32097
2002-01-01 32649
2003-01-01 33161
2004-01-01 35952
2005-01-01 34625
2006-01-01 34363
2007-01-01 39013
2008-01-01 39565
2009-01-01 40997
2010-01-01 40914
2011-01-01 42050
2012-01-01 42779
2013-01-01 42728
2014-01-01 44707
2015-01-01 45590
2016-01-01 45835
2017-01-01 46680
2018-01-01 49548
2019-01-01 51026
2020-01-01 55302
2021-01-01 53092
2022-01-01 59233

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