Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Thurston County, NE
Series ID MHICILBNE31173A052NCEN
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 1:11 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 16300
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 18966
1994-01-01 .
1995-01-01 20691
1996-01-01 .
1997-01-01 22490
1998-01-01 22513
1999-01-01 25404
2000-01-01 26290
2001-01-01 25805
2002-01-01 26082
2003-01-01 27809
2004-01-01 29007
2005-01-01 29235
2006-01-01 30494
2007-01-01 30088
2008-01-01 32283
2009-01-01 32588
2010-01-01 33374
2011-01-01 35030
2012-01-01 37537
2013-01-01 35164
2014-01-01 37112
2015-01-01 38208
2016-01-01 39909
2017-01-01 41038
2018-01-01 41231
2019-01-01 44938
2020-01-01 43679
2021-01-01 47194
2022-01-01 51988

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