Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Webster County, IA
Series ID MHICIUBIA19187A052NCEN
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 26401
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30659
1994-01-01 .
1995-01-01 33982
1996-01-01 .
1997-01-01 37287
1998-01-01 38763
1999-01-01 37796
2000-01-01 38636
2001-01-01 37878
2002-01-01 38253
2003-01-01 39467
2004-01-01 40928
2005-01-01 41711
2006-01-01 41388
2007-01-01 46213
2008-01-01 43814
2009-01-01 43591
2010-01-01 42624
2011-01-01 45490
2012-01-01 45009
2013-01-01 49155
2014-01-01 46403
2015-01-01 48801
2016-01-01 52037
2017-01-01 53529
2018-01-01 56322
2019-01-01 58467
2020-01-01 61283
2021-01-01 60910
2022-01-01 70963

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