NOTE: THIS DATA FILE WILL CHANGE! To improve accessibility of data for all users, we will convert this file from a text format to an html table by the end of June 2024. Title: 90% Confidence Interval Lower Bound of Estimate of Median Household Income for San Miguel County, NM Series ID: MHICILBNM35047A052NCEN 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 (https://www.census.gov/programs-surveys/saipe/about.html) (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 (https://www.census.gov/programs-surveys/saipe/guidance/confidence-intervals.html). DATE VALUE 1989-01-01 12602 1990-01-01 . 1991-01-01 . 1992-01-01 . 1993-01-01 16907 1994-01-01 . 1995-01-01 19686 1996-01-01 . 1997-01-01 19616 1998-01-01 20183 1999-01-01 23107 2000-01-01 23953 2001-01-01 23763 2002-01-01 24321 2003-01-01 25430 2004-01-01 26217 2005-01-01 25693 2006-01-01 31260 2007-01-01 28440 2008-01-01 29431 2009-01-01 27854 2010-01-01 28854 2011-01-01 29125 2012-01-01 28220 2013-01-01 28188 2014-01-01 29551 2015-01-01 29553 2016-01-01 28588 2017-01-01 29722 2018-01-01 31773 2019-01-01 32587 2020-01-01 35097 2021-01-01 39923 2022-01-01 43481