Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Harding County, NM
Series ID MHICILBNM35021A052NCEN
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 3:13 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 14957
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20041
1994-01-01 .
1995-01-01 19657
1996-01-01 .
1997-01-01 24000
1998-01-01 22366
1999-01-01 23833
2000-01-01 24230
2001-01-01 23892
2002-01-01 22158
2003-01-01 23015
2004-01-01 24030
2005-01-01 24447
2006-01-01 25279
2007-01-01 27026
2008-01-01 25767
2009-01-01 28239
2010-01-01 27932
2011-01-01 29657
2012-01-01 31891
2013-01-01 33765
2014-01-01 36057
2015-01-01 35501
2016-01-01 32978
2017-01-01 31478
2018-01-01 33423
2019-01-01 33466
2020-01-01 33595
2021-01-01 38560
2022-01-01 39503
2023-01-01 41351

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