Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Camp County, TX
Series ID MHICILBTX48063A052NCEN
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 2:32 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 19187
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19940
1994-01-01 .
1995-01-01 21724
1996-01-01 .
1997-01-01 24180
1998-01-01 26080
1999-01-01 28342
2000-01-01 29982
2001-01-01 29421
2002-01-01 28836
2003-01-01 29722
2004-01-01 30372
2005-01-01 30355
2006-01-01 31630
2007-01-01 32873
2008-01-01 34620
2009-01-01 32424
2010-01-01 34718
2011-01-01 32931
2012-01-01 33691
2013-01-01 34287
2014-01-01 34442
2015-01-01 37000
2016-01-01 37716
2017-01-01 37440
2018-01-01 39025
2019-01-01 41674
2020-01-01 37121
2021-01-01 47045
2022-01-01 46465
2023-01-01 47281

Subscribe to the FRED newsletter


Follow us

Back to Top