Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Kimball County, NE
Series ID MHICILBNE31105A052NCEN
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 2:33 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 22918
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25670
1994-01-01 .
1995-01-01 26008
1996-01-01 .
1997-01-01 28132
1998-01-01 27827
1999-01-01 28443
2000-01-01 29835
2001-01-01 29035
2002-01-01 28318
2003-01-01 29517
2004-01-01 30812
2005-01-01 30570
2006-01-01 31861
2007-01-01 33918
2008-01-01 35816
2009-01-01 35413
2010-01-01 36889
2011-01-01 36313
2012-01-01 38455
2013-01-01 40793
2014-01-01 41357
2015-01-01 41119
2016-01-01 40293
2017-01-01 41510
2018-01-01 41884
2019-01-01 46890
2020-01-01 39967
2021-01-01 46104
2022-01-01 49013
2023-01-01 54485

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