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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Wayne County, NE
Series ID MHICIUBNE31179A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:03 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 26241
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30948
1994-01-01 .
1995-01-01 33154
1996-01-01 .
1997-01-01 37105
1998-01-01 38480
1999-01-01 35065
2000-01-01 36195
2001-01-01 36050
2002-01-01 35521
2003-01-01 37616
2004-01-01 39357
2005-01-01 40803
2006-01-01 42934
2007-01-01 45207
2008-01-01 48485
2009-01-01 47593
2010-01-01 47161
2011-01-01 51715
2012-01-01 51627
2013-01-01 54652
2014-01-01 58805
2015-01-01 59514
2016-01-01 58363
2017-01-01 60471
2018-01-01 62085
2019-01-01 64318
2020-01-01 68579
2021-01-01 67063
2022-01-01 72922
2023-01-01 77085
2024-01-01 77666

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