Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Navarro County, TX
Series ID MHICIUBTX48349A052NCEN
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 22268
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25982
1994-01-01 .
1995-01-01 29187
1996-01-01 .
1997-01-01 31289
1998-01-01 32613
1999-01-01 32166
2000-01-01 34178
2001-01-01 33210
2002-01-01 32932
2003-01-01 33451
2004-01-01 34362
2005-01-01 36792
2006-01-01 38954
2007-01-01 40950
2008-01-01 43812
2009-01-01 41688
2010-01-01 40457
2011-01-01 40846
2012-01-01 42395
2013-01-01 42153
2014-01-01 46315
2015-01-01 44655
2016-01-01 47774
2017-01-01 45828
2018-01-01 49832
2019-01-01 53076
2020-01-01 56166
2021-01-01 56374
2022-01-01 56529

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