Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Dickens County, TX
Series ID MHICILBTX48125A052NCEN
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 1:11 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 11822
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 14958
1994-01-01 .
1995-01-01 15727
1996-01-01 .
1997-01-01 18147
1998-01-01 19090
1999-01-01 22579
2000-01-01 23736
2001-01-01 22883
2002-01-01 22695
2003-01-01 23022
2004-01-01 23633
2005-01-01 24293
2006-01-01 25947
2007-01-01 26671
2008-01-01 27294
2009-01-01 27410
2010-01-01 29551
2011-01-01 29591
2012-01-01 29645
2013-01-01 32001
2014-01-01 32303
2015-01-01 36565
2016-01-01 34275
2017-01-01 34569
2018-01-01 35598
2019-01-01 37162
2020-01-01 35988
2021-01-01 37484
2022-01-01 41590

Subscribe to the FRED newsletter


Follow us

Back to Top