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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Thurston County, NE
Series ID MHICIUBNE31173A052NCEN
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 20934
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23543
1994-01-01 .
1995-01-01 26899
1996-01-01 .
1997-01-01 28738
1998-01-01 28663
1999-01-01 28963
2000-01-01 30602
2001-01-01 29693
2002-01-01 29975
2003-01-01 31576
2004-01-01 32929
2005-01-01 34437
2006-01-01 36184
2007-01-01 36588
2008-01-01 38993
2009-01-01 39529
2010-01-01 39312
2011-01-01 42542
2012-01-01 42995
2013-01-01 41952
2014-01-01 45576
2015-01-01 46372
2016-01-01 47565
2017-01-01 49618
2018-01-01 49579
2019-01-01 52844
2020-01-01 54617
2021-01-01 57210
2022-01-01 62270
2023-01-01 63554
2024-01-01 71814

Back to Top