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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Frontier County, NE
Series ID MHICIUBNE31063A052NCEN
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 7:04 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 25216
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29672
1994-01-01 .
1995-01-01 30885
1996-01-01 .
1997-01-01 33647
1998-01-01 33815
1999-01-01 35391
2000-01-01 36997
2001-01-01 36436
2002-01-01 34191
2003-01-01 36742
2004-01-01 37131
2005-01-01 39585
2006-01-01 40139
2007-01-01 42307
2008-01-01 46751
2009-01-01 46132
2010-01-01 43958
2011-01-01 53065
2012-01-01 52285
2013-01-01 53003
2014-01-01 53351
2015-01-01 55724
2016-01-01 59581
2017-01-01 54428
2018-01-01 48387
2019-01-01 60121
2020-01-01 66059
2021-01-01 59682
2022-01-01 65505
2023-01-01 70018
2024-01-01 74087

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