Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Hidalgo County, NM
Series ID MHICILBNM35023A052NCEN
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 1:54 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 18194
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22597
1994-01-01 .
1995-01-01 24957
1996-01-01 .
1997-01-01 25290
1998-01-01 24794
1999-01-01 22425
2000-01-01 22719
2001-01-01 22122
2002-01-01 20991
2003-01-01 20970
2004-01-01 22117
2005-01-01 22656
2006-01-01 24980
2007-01-01 25904
2008-01-01 31438
2009-01-01 27026
2010-01-01 27429
2011-01-01 27852
2012-01-01 30972
2013-01-01 29910
2014-01-01 30639
2015-01-01 30745
2016-01-01 29983
2017-01-01 29838
2018-01-01 36676
2019-01-01 33025
2020-01-01 35647
2021-01-01 35388
2022-01-01 38236

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