Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Hot Springs County, WY
Series ID MHICILBWY56017A052NCEN
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 21386
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24851
1994-01-01 .
1995-01-01 24857
1996-01-01 .
1997-01-01 26834
1998-01-01 26945
1999-01-01 27547
2000-01-01 28924
2001-01-01 28388
2002-01-01 28588
2003-01-01 30295
2004-01-01 32330
2005-01-01 31691
2006-01-01 32835
2007-01-01 36947
2008-01-01 36169
2009-01-01 36848
2010-01-01 36467
2011-01-01 37696
2012-01-01 38695
2013-01-01 38741
2014-01-01 39816
2015-01-01 41431
2016-01-01 41321
2017-01-01 42792
2018-01-01 44178
2019-01-01 46086
2020-01-01 41558
2021-01-01 48126
2022-01-01 57588
2023-01-01 52874

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