Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Johnson County, MO
Series ID MHICILBMO29101A052NCEN
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 21623
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25639
1994-01-01 .
1995-01-01 27024
1996-01-01 .
1997-01-01 30179
1998-01-01 31816
1999-01-01 32893
2000-01-01 34028
2001-01-01 33671
2002-01-01 34387
2003-01-01 35496
2004-01-01 36482
2005-01-01 39267
2006-01-01 37867
2007-01-01 40819
2008-01-01 43676
2009-01-01 37292
2010-01-01 39869
2011-01-01 45257
2012-01-01 41155
2013-01-01 42113
2014-01-01 46353
2015-01-01 41330
2016-01-01 47536
2017-01-01 51223
2018-01-01 48595
2019-01-01 54152
2020-01-01 52502
2021-01-01 53358
2022-01-01 56214

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