Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Madison County, NE
Series ID MHICIUBNE31119A052NCEN
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 28187
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33347
1994-01-01 .
1995-01-01 36875
1996-01-01 .
1997-01-01 39801
1998-01-01 40116
1999-01-01 38950
2000-01-01 41739
2001-01-01 40513
2002-01-01 40798
2003-01-01 41276
2004-01-01 42211
2005-01-01 44164
2006-01-01 43565
2007-01-01 42891
2008-01-01 46598
2009-01-01 45737
2010-01-01 46597
2011-01-01 50610
2012-01-01 48145
2013-01-01 49123
2014-01-01 54918
2015-01-01 55618
2016-01-01 53403
2017-01-01 55458
2018-01-01 59968
2019-01-01 62899
2020-01-01 64216
2021-01-01 67592
2022-01-01 68117

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