Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Frio County, TX
Series ID MHICIUBTX48163A052NCEN
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 1:09 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 17153
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19195
1994-01-01 .
1995-01-01 22047
1996-01-01 .
1997-01-01 23194
1998-01-01 24837
1999-01-01 24869
2000-01-01 26735
2001-01-01 25587
2002-01-01 25415
2003-01-01 25971
2004-01-01 26763
2005-01-01 29098
2006-01-01 30433
2007-01-01 32535
2008-01-01 34139
2009-01-01 32957
2010-01-01 33673
2011-01-01 35078
2012-01-01 35283
2013-01-01 38902
2014-01-01 36991
2015-01-01 42818
2016-01-01 42632
2017-01-01 41489
2018-01-01 44801
2019-01-01 45269
2020-01-01 53131
2021-01-01 52352
2022-01-01 52549

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