Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Guadalupe County, TX
Series ID MHICILBTX48187A052NCEN
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 23313
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28105
1994-01-01 .
1995-01-01 29576
1996-01-01 .
1997-01-01 31871
1998-01-01 33212
1999-01-01 37844
2000-01-01 40079
2001-01-01 40043
2002-01-01 40744
2003-01-01 42860
2004-01-01 44758
2005-01-01 45966
2006-01-01 49491
2007-01-01 49697
2008-01-01 58377
2009-01-01 55087
2010-01-01 55585
2011-01-01 53432
2012-01-01 58501
2013-01-01 55718
2014-01-01 58523
2015-01-01 60935
2016-01-01 64365
2017-01-01 63293
2018-01-01 71158
2019-01-01 74887
2020-01-01 72136
2021-01-01 74401
2022-01-01 80329

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