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Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Douglas County, NE

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Douglas County, NE
Series ID MHICIUBNE31055A052NCEN
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 1:09 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 31585
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 36262
1994-01-01 .
1995-01-01 41153
1996-01-01 .
1997-01-01 44699
1998-01-01 46191
1999-01-01 45816
2000-01-01 50327
2001-01-01 49519
2002-01-01 49747
2003-01-01 49141
2004-01-01 49668
2005-01-01 47550
2006-01-01 50512
2007-01-01 52188
2008-01-01 54195
2009-01-01 51515
2010-01-01 51827
2011-01-01 52983
2012-01-01 52264
2013-01-01 53470
2014-01-01 54556
2015-01-01 60113
2016-01-01 61493
2017-01-01 63565
2018-01-01 67003
2019-01-01 69452
2020-01-01 67904
2021-01-01 71958
2022-01-01 76858

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