Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Camp County, TX
Series ID MHICIUBTX48063A052NCEN
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 24036
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24500
1994-01-01 .
1995-01-01 27862
1996-01-01 .
1997-01-01 30341
1998-01-01 32244
1999-01-01 32438
2000-01-01 35045
2001-01-01 33884
2002-01-01 33170
2003-01-01 33810
2004-01-01 34478
2005-01-01 36284
2006-01-01 37910
2007-01-01 39973
2008-01-01 42251
2009-01-01 39434
2010-01-01 40690
2011-01-01 39855
2012-01-01 40773
2013-01-01 41595
2014-01-01 41160
2015-01-01 44536
2016-01-01 46158
2017-01-01 46424
2018-01-01 48403
2019-01-01 52508
2020-01-01 49139
2021-01-01 55003
2022-01-01 59373

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