Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Hidalgo County, TX
Series ID MHICILBTX48215A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:32 AM 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 14364
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 15985
1994-01-01 .
1995-01-01 17187
1996-01-01 .
1997-01-01 17239
1998-01-01 18076
1999-01-01 21279
2000-01-01 23111
2001-01-01 22511
2002-01-01 22825
2003-01-01 24367
2004-01-01 24800
2005-01-01 23961
2006-01-01 27260
2007-01-01 28663
2008-01-01 29180
2009-01-01 29110
2010-01-01 31579
2011-01-01 29443
2012-01-01 32135
2013-01-01 33250
2014-01-01 32672
2015-01-01 33823
2016-01-01 34342
2017-01-01 35611
2018-01-01 36844
2019-01-01 40055
2020-01-01 43648
2021-01-01 41628
2022-01-01 46947
2023-01-01 51429

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