Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Jones County, TX
Series ID MHICIUBTX48253A052NCEN
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 21091
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23936
1994-01-01 .
1995-01-01 26266
1996-01-01 .
1997-01-01 28565
1998-01-01 28865
1999-01-01 29456
2000-01-01 31344
2001-01-01 30445
2002-01-01 29703
2003-01-01 30441
2004-01-01 31649
2005-01-01 35948
2006-01-01 38055
2007-01-01 38836
2008-01-01 41323
2009-01-01 38598
2010-01-01 38068
2011-01-01 39173
2012-01-01 41178
2013-01-01 44012
2014-01-01 44966
2015-01-01 45794
2016-01-01 45105
2017-01-01 48368
2018-01-01 48166
2019-01-01 55382
2020-01-01 53641
2021-01-01 56639
2022-01-01 58115

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