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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lancaster County, NE
Series ID MHICIUBNE31109A052NCEN
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 1:51 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 30849
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 36548
1994-01-01 .
1995-01-01 40195
1996-01-01 .
1997-01-01 42151
1998-01-01 43538
1999-01-01 43206
2000-01-01 45802
2001-01-01 45194
2002-01-01 45475
2003-01-01 47340
2004-01-01 49203
2005-01-01 48870
2006-01-01 50470
2007-01-01 50956
2008-01-01 54072
2009-01-01 50425
2010-01-01 51982
2011-01-01 50843
2012-01-01 52241
2013-01-01 54137
2014-01-01 53505
2015-01-01 56924
2016-01-01 61324
2017-01-01 62514
2018-01-01 61537
2019-01-01 63041
2020-01-01 68139
2021-01-01 68239
2022-01-01 73206

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