Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Nacogdoches County, TX
Series ID MHICILBTX48347A052NCEN
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 18847
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21512
1994-01-01 .
1995-01-01 22327
1996-01-01 .
1997-01-01 24652
1998-01-01 26351
1999-01-01 26620
2000-01-01 27349
2001-01-01 26791
2002-01-01 26859
2003-01-01 27397
2004-01-01 28084
2005-01-01 28680
2006-01-01 29070
2007-01-01 30867
2008-01-01 33034
2009-01-01 30077
2010-01-01 32852
2011-01-01 35557
2012-01-01 32110
2013-01-01 33394
2014-01-01 36714
2015-01-01 35950
2016-01-01 34732
2017-01-01 38309
2018-01-01 42802
2019-01-01 41908
2020-01-01 43460
2021-01-01 41847
2022-01-01 49070

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