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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Sarpy County, NE
Series ID MHICIUBNE31153A052NCEN
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 37659
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 44131
1994-01-01 .
1995-01-01 46383
1996-01-01 .
1997-01-01 52540
1998-01-01 55250
1999-01-01 57254
2000-01-01 60807
2001-01-01 60125
2002-01-01 61270
2003-01-01 62311
2004-01-01 64536
2005-01-01 62734
2006-01-01 63820
2007-01-01 67107
2008-01-01 67469
2009-01-01 70158
2010-01-01 72224
2011-01-01 69336
2012-01-01 71726
2013-01-01 71633
2014-01-01 77392
2015-01-01 76920
2016-01-01 77894
2017-01-01 84254
2018-01-01 84019
2019-01-01 86998
2020-01-01 88308
2021-01-01 93738
2022-01-01 102604

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