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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Madison County, NE
Series ID MHICILBNE31119A052NCEN
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 7:08 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 23922
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29013
1994-01-01 .
1995-01-01 31032
1996-01-01 .
1997-01-01 33944
1998-01-01 34264
1999-01-01 34325
2000-01-01 36159
2001-01-01 35497
2002-01-01 35728
2003-01-01 36544
2004-01-01 37341
2005-01-01 37411
2006-01-01 38516
2007-01-01 37197
2008-01-01 39915
2009-01-01 40103
2010-01-01 40385
2011-01-01 42116
2012-01-01 43499
2013-01-01 42353
2014-01-01 48754
2015-01-01 47042
2016-01-01 45847
2017-01-01 46910
2018-01-01 50484
2019-01-01 53651
2020-01-01 49724
2021-01-01 54934
2022-01-01 58847
2023-01-01 62267
2024-01-01 62220

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