Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Johnson County, WY
Series ID MHICILBWY56019A052NCEN
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 2:32 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 21393
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24760
1994-01-01 .
1995-01-01 26567
1996-01-01 .
1997-01-01 28711
1998-01-01 29547
1999-01-01 32087
2000-01-01 33321
2001-01-01 33590
2002-01-01 34936
2003-01-01 37017
2004-01-01 39541
2005-01-01 38189
2006-01-01 36789
2007-01-01 42781
2008-01-01 46218
2009-01-01 45247
2010-01-01 54095
2011-01-01 48356
2012-01-01 46975
2013-01-01 46531
2014-01-01 45961
2015-01-01 51123
2016-01-01 50611
2017-01-01 50066
2018-01-01 51310
2019-01-01 52159
2020-01-01 52965
2021-01-01 51089
2022-01-01 61722
2023-01-01 60006

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