Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Webster County, NE
Series ID MHICIUBNE31181A052NCEN
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 1:09 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 22995
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27052
1994-01-01 .
1995-01-01 27719
1996-01-01 .
1997-01-01 31179
1998-01-01 31560
1999-01-01 32258
2000-01-01 33888
2001-01-01 33462
2002-01-01 32691
2003-01-01 34581
2004-01-01 35864
2005-01-01 37936
2006-01-01 37757
2007-01-01 39103
2008-01-01 40586
2009-01-01 40729
2010-01-01 41030
2011-01-01 42612
2012-01-01 44038
2013-01-01 46309
2014-01-01 45228
2015-01-01 43798
2016-01-01 45469
2017-01-01 50288
2018-01-01 49846
2019-01-01 54618
2020-01-01 59203
2021-01-01 62611
2022-01-01 67488

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