Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for La Salle County, TX
Series ID MHICIUBTX48283A052NCEN
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 14913
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20035
1994-01-01 .
1995-01-01 22262
1996-01-01 .
1997-01-01 23282
1998-01-01 24106
1999-01-01 23069
2000-01-01 24606
2001-01-01 24237
2002-01-01 24420
2003-01-01 25112
2004-01-01 25796
2005-01-01 27241
2006-01-01 28465
2007-01-01 30795
2008-01-01 32718
2009-01-01 31004
2010-01-01 31622
2011-01-01 33058
2012-01-01 35172
2013-01-01 39091
2014-01-01 41918
2015-01-01 46500
2016-01-01 44029
2017-01-01 45791
2018-01-01 44359
2019-01-01 46855
2020-01-01 52883
2021-01-01 45662
2022-01-01 44368

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