Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Big Horn County, WY
Series ID MHICILBWY56003A052NCEN
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 3:12 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 21907
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24712
1994-01-01 .
1995-01-01 26298
1996-01-01 .
1997-01-01 28848
1998-01-01 30072
1999-01-01 30998
2000-01-01 32094
2001-01-01 31942
2002-01-01 32383
2003-01-01 33544
2004-01-01 34694
2005-01-01 34222
2006-01-01 35747
2007-01-01 45039
2008-01-01 40305
2009-01-01 40776
2010-01-01 40336
2011-01-01 45985
2012-01-01 42182
2013-01-01 44754
2014-01-01 47056
2015-01-01 45193
2016-01-01 44426
2017-01-01 45321
2018-01-01 50658
2019-01-01 46975
2020-01-01 47091
2021-01-01 53991
2022-01-01 54668
2023-01-01 54210

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