Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Johnson County, KS
Series ID MHICILBKS20091A052NCEN
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 39861
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 48149
1994-01-01 .
1995-01-01 52448
1996-01-01 .
1997-01-01 57130
1998-01-01 60082
1999-01-01 59146
2000-01-01 62669
2001-01-01 62820
2002-01-01 63140
2003-01-01 63268
2004-01-01 64415
2005-01-01 65066
2006-01-01 68052
2007-01-01 70060
2008-01-01 74075
2009-01-01 70167
2010-01-01 69383
2011-01-01 68194
2012-01-01 71271
2013-01-01 72102
2014-01-01 73905
2015-01-01 81135
2016-01-01 78903
2017-01-01 80713
2018-01-01 84883
2019-01-01 90111
2020-01-01 88606
2021-01-01 91012
2022-01-01 95777

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