Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Johnson County, WY
Series ID MHICIUBWY56019A052NCEN
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 3:11 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 25756
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29199
1994-01-01 .
1995-01-01 32727
1996-01-01 .
1997-01-01 34936
1998-01-01 35784
1999-01-01 36586
2000-01-01 38725
2001-01-01 38638
2002-01-01 40236
2003-01-01 42166
2004-01-01 45150
2005-01-01 45677
2006-01-01 42592
2007-01-01 51737
2008-01-01 56105
2009-01-01 53667
2010-01-01 58855
2011-01-01 58798
2012-01-01 56831
2013-01-01 56511
2014-01-01 56907
2015-01-01 62567
2016-01-01 62035
2017-01-01 60758
2018-01-01 64042
2019-01-01 62289
2020-01-01 72377
2021-01-01 63461
2022-01-01 78412
2023-01-01 72194

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