Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Johnson County, IA
Series ID MHICILBIA19103A052NCEN
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 27147
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32847
1994-01-01 .
1995-01-01 34198
1996-01-01 .
1997-01-01 38666
1998-01-01 41797
1999-01-01 39467
2000-01-01 39811
2001-01-01 39811
2002-01-01 39974
2003-01-01 41330
2004-01-01 41756
2005-01-01 42072
2006-01-01 44258
2007-01-01 49282
2008-01-01 51257
2009-01-01 47308
2010-01-01 47839
2011-01-01 49913
2012-01-01 49846
2013-01-01 50178
2014-01-01 55972
2015-01-01 53718
2016-01-01 55655
2017-01-01 59137
2018-01-01 59944
2019-01-01 62116
2020-01-01 63073
2021-01-01 63948
2022-01-01 70619

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