Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Preston County, WV
Series ID MHICILBWV54077A052NCEN
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 2:32 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 19009
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20941
1994-01-01 .
1995-01-01 21823
1996-01-01 .
1997-01-01 22906
1998-01-01 24228
1999-01-01 26029
2000-01-01 27102
2001-01-01 26859
2002-01-01 27898
2003-01-01 29250
2004-01-01 30338
2005-01-01 29371
2006-01-01 31352
2007-01-01 32504
2008-01-01 37358
2009-01-01 35291
2010-01-01 39928
2011-01-01 36974
2012-01-01 37223
2013-01-01 39173
2014-01-01 38131
2015-01-01 39850
2016-01-01 40728
2017-01-01 41305
2018-01-01 42955
2019-01-01 45690
2020-01-01 47192
2021-01-01 53009
2022-01-01 52144
2023-01-01 49878

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