Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Jones County, TX
Series ID MHICILBTX48253A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:12 AM 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 16466
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19387
1994-01-01 .
1995-01-01 20036
1996-01-01 .
1997-01-01 22178
1998-01-01 22349
1999-01-01 25696
2000-01-01 26771
2001-01-01 26354
2002-01-01 25694
2003-01-01 26712
2004-01-01 27815
2005-01-01 31127
2006-01-01 32563
2007-01-01 32332
2008-01-01 34270
2009-01-01 32696
2010-01-01 32318
2011-01-01 32245
2012-01-01 34954
2013-01-01 37230
2014-01-01 37192
2015-01-01 37948
2016-01-01 36757
2017-01-01 39896
2018-01-01 39640
2019-01-01 46806
2020-01-01 40397
2021-01-01 47937
2022-01-01 45673
2023-01-01 46314

Subscribe to the FRED newsletter


Follow us

Back to Top