Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Hitchcock County, NE
Series ID MHICIUBNE31087A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:12 AM 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 24330
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26859
1994-01-01 .
1995-01-01 28897
1996-01-01 .
1997-01-01 30166
1998-01-01 30007
1999-01-01 30551
2000-01-01 32118
2001-01-01 31198
2002-01-01 29720
2003-01-01 31843
2004-01-01 33377
2005-01-01 37027
2006-01-01 35072
2007-01-01 36923
2008-01-01 41045
2009-01-01 39938
2010-01-01 39773
2011-01-01 43393
2012-01-01 45717
2013-01-01 44199
2014-01-01 44513
2015-01-01 46765
2016-01-01 47614
2017-01-01 46636
2018-01-01 48630
2019-01-01 54827
2020-01-01 55949
2021-01-01 56375
2022-01-01 61183
2023-01-01 60924

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