Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for San Patricio County, TX
Series ID MHICILBTX48409A052NCEN
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 1:53 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 19959
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23926
1994-01-01 .
1995-01-01 25152
1996-01-01 .
1997-01-01 25689
1998-01-01 26989
1999-01-01 30495
2000-01-01 32393
2001-01-01 31879
2002-01-01 32448
2003-01-01 34462
2004-01-01 34832
2005-01-01 35310
2006-01-01 36491
2007-01-01 37198
2008-01-01 41328
2009-01-01 41555
2010-01-01 40540
2011-01-01 42059
2012-01-01 45162
2013-01-01 43502
2014-01-01 48698
2015-01-01 49833
2016-01-01 47853
2017-01-01 47273
2018-01-01 49185
2019-01-01 53978
2020-01-01 49946
2021-01-01 53100
2022-01-01 57245

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