Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Nacogdoches County, TX
Series ID MHICIUBTX48347A052NCEN
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 1:51 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 23364
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26047
1994-01-01 .
1995-01-01 28473
1996-01-01 .
1997-01-01 30814
1998-01-01 32458
1999-01-01 30418
2000-01-01 31848
2001-01-01 30821
2002-01-01 30909
2003-01-01 31171
2004-01-01 31943
2005-01-01 33434
2006-01-01 34267
2007-01-01 34682
2008-01-01 39843
2009-01-01 35219
2010-01-01 38856
2011-01-01 40535
2012-01-01 38256
2013-01-01 40156
2014-01-01 41076
2015-01-01 43162
2016-01-01 41466
2017-01-01 46425
2018-01-01 47912
2019-01-01 50506
2020-01-01 55290
2021-01-01 52093
2022-01-01 54346

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