Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for York County, NE
Series ID MHICILBNE31185A052NCEN
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 25535
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30463
1994-01-01 .
1995-01-01 31626
1996-01-01 .
1997-01-01 34900
1998-01-01 35785
1999-01-01 35600
2000-01-01 36367
2001-01-01 35734
2002-01-01 35362
2003-01-01 37530
2004-01-01 38596
2005-01-01 37764
2006-01-01 39435
2007-01-01 44710
2008-01-01 43729
2009-01-01 45009
2010-01-01 42181
2011-01-01 45055
2012-01-01 45553
2013-01-01 52741
2014-01-01 49041
2015-01-01 55501
2016-01-01 49578
2017-01-01 50022
2018-01-01 56026
2019-01-01 54305
2020-01-01 54668
2021-01-01 57689
2022-01-01 60781

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