Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Webster County, IA
Series ID MHICILBIA19187A052NCEN
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 1:12 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 21867
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26191
1994-01-01 .
1995-01-01 28257
1996-01-01 .
1997-01-01 31403
1998-01-01 32921
1999-01-01 33320
2000-01-01 33542
2001-01-01 33232
2002-01-01 33531
2003-01-01 34949
2004-01-01 36260
2005-01-01 36695
2006-01-01 36754
2007-01-01 39514
2008-01-01 39321
2009-01-01 37411
2010-01-01 36506
2011-01-01 38866
2012-01-01 39879
2013-01-01 41249
2014-01-01 40577
2015-01-01 41043
2016-01-01 43989
2017-01-01 43895
2018-01-01 47864
2019-01-01 48221
2020-01-01 55427
2021-01-01 49456
2022-01-01 63257

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