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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Natrona County, WY
Series ID MHICILBWY56025A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:11 PM 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 24934
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28975
1994-01-01 .
1995-01-01 31183
1996-01-01 .
1997-01-01 31983
1998-01-01 33337
1999-01-01 33741
2000-01-01 35922
2001-01-01 36583
2002-01-01 37101
2003-01-01 38655
2004-01-01 40512
2005-01-01 43981
2006-01-01 41719
2007-01-01 43291
2008-01-01 48833
2009-01-01 52060
2010-01-01 49713
2011-01-01 48609
2012-01-01 50605
2013-01-01 53478
2014-01-01 53322
2015-01-01 52343
2016-01-01 56271
2017-01-01 57867
2018-01-01 60598
2019-01-01 61005
2020-01-01 57287
2021-01-01 61209
2022-01-01 65163

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