Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Campbell County, WY
Series ID MHICILBWY56005A052NCEN
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 34341
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 41116
1994-01-01 .
1995-01-01 43001
1996-01-01 .
1997-01-01 46121
1998-01-01 47965
1999-01-01 47431
2000-01-01 49722
2001-01-01 50514
2002-01-01 52889
2003-01-01 54377
2004-01-01 57124
2005-01-01 56260
2006-01-01 56908
2007-01-01 73048
2008-01-01 70023
2009-01-01 73766
2010-01-01 70677
2011-01-01 67379
2012-01-01 77230
2013-01-01 77451
2014-01-01 72064
2015-01-01 75760
2016-01-01 71070
2017-01-01 71939
2018-01-01 73160
2019-01-01 76347
2020-01-01 75605
2021-01-01 81291
2022-01-01 80481
2023-01-01 80167

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