Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Mariposa County, CA
Series ID MHICILBCA06043A052NCEN
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 19980
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24444
1994-01-01 .
1995-01-01 26248
1996-01-01 .
1997-01-01 28067
1998-01-01 29686
1999-01-01 31195
2000-01-01 32622
2001-01-01 31934
2002-01-01 32973
2003-01-01 33261
2004-01-01 35054
2005-01-01 36695
2006-01-01 37499
2007-01-01 39006
2008-01-01 40050
2009-01-01 38490
2010-01-01 38197
2011-01-01 37892
2012-01-01 39363
2013-01-01 41189
2014-01-01 44401
2015-01-01 41127
2016-01-01 47007
2017-01-01 48245
2018-01-01 46514
2019-01-01 46592
2020-01-01 48826
2021-01-01 54124
2022-01-01 60389

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