Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Wood County, TX
Series ID MHICILBTX48499A052NCEN
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 1:53 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 18276
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21059
1994-01-01 .
1995-01-01 22884
1996-01-01 .
1997-01-01 24270
1998-01-01 25413
1999-01-01 28927
2000-01-01 30103
2001-01-01 29175
2002-01-01 29410
2003-01-01 30364
2004-01-01 32694
2005-01-01 32374
2006-01-01 35133
2007-01-01 37523
2008-01-01 37957
2009-01-01 36032
2010-01-01 37310
2011-01-01 36951
2012-01-01 42457
2013-01-01 42762
2014-01-01 39333
2015-01-01 42247
2016-01-01 43017
2017-01-01 46087
2018-01-01 43661
2019-01-01 52944
2020-01-01 59531
2021-01-01 47376
2022-01-01 51758

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