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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Antelope County, NE
Series ID MHICIUBNE31003A052NCEN
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 22527
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27463
1994-01-01 .
1995-01-01 29210
1996-01-01 .
1997-01-01 33439
1998-01-01 33997
1999-01-01 32831
2000-01-01 34454
2001-01-01 33636
2002-01-01 33343
2003-01-01 35512
2004-01-01 37288
2005-01-01 35775
2006-01-01 36687
2007-01-01 40142
2008-01-01 40815
2009-01-01 40606
2010-01-01 44247
2011-01-01 48023
2012-01-01 49195
2013-01-01 53219
2014-01-01 56221
2015-01-01 52596
2016-01-01 52943
2017-01-01 50999
2018-01-01 59271
2019-01-01 55381
2020-01-01 60632
2021-01-01 61949
2022-01-01 70636

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