Morocco MA: Life Expectancy at Birth: Female data was reported at 76.956 Year in 2016. This records an increase from the previous number of 76.690 Year for 2015. Morocco MA: Life Expectancy at Birth: Female data is updated yearly, averaging 65.064 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 76.956 Year in 2016 and a record low of 49.806 Year in 1960. Morocco MA: Life Expectancy at Birth: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Morocco – Table MA.World Bank: Health Statistics. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;

Morocco MA: Life Expectancy at Birth: Male data was reported at 74.642 Year in 2016. This records an increase from the previous number of 74.406 Year for 2015. Morocco MA: Life Expectancy at Birth: Male data is updated yearly, averaging 61.978 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 74.642 Year in 2016 and a record low of 47.152 Year in 1960. Morocco MA: Life Expectancy at Birth: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Morocco – Table MA.World Bank: Health Statistics. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;

Morocco MA: Life Expectancy at Birth: Total data was reported at 75.821 Year in 2016. This records an increase from the previous number of 75.573 Year for 2015. Morocco MA: Life Expectancy at Birth: Total data is updated yearly, averaging 63.536 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 75.821 Year in 2016 and a record low of 48.458 Year in 1960. Morocco MA: Life Expectancy at Birth: Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Morocco – Table MA.World Bank.WDI: Health Statistics. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision, or derived from male and female life expectancy at birth from sources such as: (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;

Morocco MA: Life Expectancy at Birth data was reported at 81.600 Year in 2050. This records an increase from the previous number of 81.500 Year for 2049. Morocco MA: Life Expectancy at Birth data is updated yearly, averaging 76.900 Year from Jun 1982 (Median) to 2050, with 69 observations. The data reached an all-time high of 81.600 Year in 2050 and a record low of 60.200 Year in 1982. Morocco MA: Life Expectancy at Birth data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s Morocco – Table MA.US Census Bureau: Demographic Projection.

Analysis of ‘WHO national life expectancy ’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/mmattson/who-national-life-expectancy on 28 January 2022.

--- Dataset description provided by original source is as follows ---

Context

I am developing my data science skills in areas outside of my previous work. An interesting problem for me was to identify which factors influence life expectancy on a national level. There is an existing Kaggle data set that explored this, but that information was corrupted. Part of the problem solving process is to step back periodically and ask "does this make sense?" Without reasonable data, it is harder to notice mistakes in my analysis code (as opposed to unusual behavior due to the data itself). I wanted to make a similar data set, but with reliable information.

This is my first time exploring life expectancy, so I had to guess which features might be of interest when making the data set. Some were included for comparison with the other Kaggle data set. A number of potentially interesting features (like air pollution) were left off due to limited year or country coverage. Since the data was collected from more than one server, some features are present more than once, to explore the differences.

Content

A goal of the World Health Organization (WHO) is to ensure that a billion more people are protected from health emergencies, and provided better health and well-being. They provide public data collected from many sources to identify and monitor factors that are important to reach this goal. This set was primarily made using GHO (Global Health Observatory) and UNESCO (United Nations Educational Scientific and Culture Organization) information. The set covers the years 2000-2016 for 183 countries, in a single CSV file. Missing data is left in place, for the user to decide how to deal with it.

Three notebooks are provided for my cursory analysis, a comparison with the other Kaggle set, and a template for creating this data set.

Inspiration

There is a lot to explore, if the user is interested. The GHO server alone has over 2000 "indicators". - How are the GHO and UNESCO life expectancies calculated, and what is causing the difference? That could also be asked for Gross National Income (GNI) and mortality features. - How does the life expectancy after age 60 compare to the life expectancy at birth? Is the relationship with the features in this data set different for those two targets? - What other indicators on the servers might be interesting to use? Some of the GHO indicators are different studies with different coverage. Can they be combined to make a more useful and robust data feature? - Unraveling the correlations between the features would take significant work.

--- Original source retains full ownership of the source dataset ---

This table contains 2394 series, with data for years 1991 - 1991 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Population group (19 items: Entire cohort; Income adequacy quintile 1 (lowest);Income adequacy quintile 2;Income adequacy quintile 3 ...), Age (14 items: At 25 years; At 30 years; At 40 years; At 35 years ...), Sex (3 items: Both sexes; Females; Males ...), Characteristics (3 items: Life expectancy; High 95% confidence interval; life expectancy; Low 95% confidence interval; life expectancy ...).

This dataset shows the Life Expectancy by Age, Ethnic Group and Sex, Malaysia 2010 - 2021. Footnote Data for year 2020 are preliminary and 2021 are estimate. Source : Department of Statistics, Malaysia

The life expectancy experiences significant growth in all gender groups in 2023. As part of the positive trend, the life expectancy reaches the maximum value for the different genders at the end of the comparison period. Particularly noteworthy is the life expectancy of women at birth, which has the highest value of 67.54 years. Life expectancy at birth refers to the number of years that the average newborn can expect to live, providing that mortality patterns at the time of their birth do not change thereafter.Find further similar statistics for other countries or regions like Eritrea and Thailand.

BackgroundThe prevalence of cardiometabolic multimorbidity (CMM), which significantly increases the risk of mortality, is increasing globally. However, the role of healthy lifestyle in the secondary prevention of CMM is unclear.MethodsIn total, 290,795 participants with CMM, which was defined as coexistence of at least two of hypertension (HTN), diabetes mellitus (DM), coronary heart disease (CHD), and stroke (ST), and those without these four diseases at baseline were derived from UK Biobank. The associations between specific CMM patterns and mortality, and that between healthy lifestyle (including physical activity, smoking, alcohol consumption, and vegetable and fruit consumption) and mortality in patients with specific CMM patterns were calculated using the flexible parametric Royston-Parmar proportion-hazard model. Hazard ratios (HRs) and corresponding 95% confidence intervals (CIs) were calculated.ResultsDuring a median 12.3-year follow up period, 15,537 (5.3%) deaths occurred. Compared with participants without cardiometabolic diseases, the HRs for all-cause mortality were 1.54 [95% confidence interval (CI): 1.30, 1.82] in participants with HTN + DM, 1.84 (95% CI: 1.59, 2.12) in those with HTN + CHD, 1.89 (95% CI: 1.46, 2.45) in those with HTN + ST, and 2.89 (95% CI: 2.28, 3.67) in those with HTN + DM + CHD. At the age of 45 years, non-current smoking was associated with an increase in life expectancy by 3.72, 6.95, 6.75, and 4.86 years for participants with HTN + DM, HTN + CHD, HTN + ST, and HTN + DM + CHD, respectively. A corresponding increase by 2.03, 1.95, 2.99, and 1.88 years, respectively, was observed in participants with regular physical activity. Non-/moderate alcohol consumption and adequate fruit/vegetable consumption were not significantly associated with life expectancy in patients with specific CMM patterns.ConclusionCardiometabolic multimorbidity was associated with an increased risk of mortality. Regular physical activity and non-current smoking can increase life expectancy in patients with specific CMM patterns.

In 2022, the life expectancy at birth for women born in the UK was 82.57 years, compared with 78.57 years for men. By age 65 men had a life expectancy of 18.25 years, compared with 20.76 years for women.

Malaysia Life Expectancy at Birth: Total data was reported at 75.300 Year in 2016. This records an increase from the previous number of 75.143 Year for 2015. Malaysia Life Expectancy at Birth: Total data is updated yearly, averaging 70.251 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 75.300 Year in 2016 and a record low of 59.466 Year in 1960. Malaysia Life Expectancy at Birth: Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malaysia – Table MY.World Bank: Health Statistics. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision, or derived from male and female life expectancy at birth from sources such as: (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;

Malaysia Life Expectancy at Birth: Female data was reported at 77.700 Year in 2016. This records an increase from the previous number of 77.543 Year for 2015. Malaysia Life Expectancy at Birth: Female data is updated yearly, averaging 72.093 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 77.700 Year in 2016 and a record low of 60.322 Year in 1960. Malaysia Life Expectancy at Birth: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Malaysia – Table MY.World Bank.WDI: Health Statistics. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;

Over the last two observations, the life expectancy has significantly increased in all gender groups Comparing the two different gender groups for the year 2023, the 'life expectancy of women at birth' leads the ranking with 80.2 years. Contrastingly, 'life expectancy of men at birth' is ranked last, with 66.9 years. Their difference, compared to life expectancy of women at birth, lies at 13.3 years. Life expectancy at birth refers to the number of years the average newborn is expected to live, providing that mortality patterns at the time of birth do not change thereafter.Find further similar statistics for other countries or regions like Latvia and Bahamas.

State of Palestine (West Bank and Gaza) Life Expectancy at Birth: Gaza Strip: Male data was reported at 72.400 Year in 2018. This records an increase from the previous number of 72.300 Year for 2017. State of Palestine (West Bank and Gaza) Life Expectancy at Birth: Gaza Strip: Male data is updated yearly, averaging 70.450 Year from Dec 1997 (Median) to 2018, with 18 observations. The data reached an all-time high of 72.400 Year in 2018 and a record low of 69.100 Year in 1998. State of Palestine (West Bank and Gaza) Life Expectancy at Birth: Gaza Strip: Male data remains active status in CEIC and is reported by Palestinian Central Bureau of Statistics. The data is categorized under Global Database’s State of Palestine (West Bank and Gaza) – Table PS.G002: Vital Statistics.

Morocco Vital Statistics: Life Expectancy Rate: Female data was reported at 77.400 % in 2015. This records an increase from the previous number of 76.400 % for 2014. Morocco Vital Statistics: Life Expectancy Rate: Female data is updated yearly, averaging 73.200 % from Dec 1980 (Median) to 2015, with 21 observations. The data reached an all-time high of 77.400 % in 2015 and a record low of 60.200 % in 1980. Morocco Vital Statistics: Life Expectancy Rate: Female data remains active status in CEIC and is reported by High Commission for Planning. The data is categorized under Global Database’s Morocco – Table MA.G006: Vital Statistics.

Maternal age effects on offspring life history are known in a variety of organisms, with offspring of older mothers typically having lower life expectancy (Lansing Effect). However there is no consensus on generality and mechanisms of this pattern. We tested predictions of Lansing Effect in several Daphnia magna clones and observed clone-specific magnitude and even direction of the maternal age effect on offspring longevity. We also report ambidirectional, genotype-specific effects of maternal age on daughters' propensity to produce male offspring. Focusing on two clones with contrasting life-histories, we demonstrate that maternal age effects can be explained by lipid provisioning of embryos by mothers of different ages. Individuals from a single-generation maternal age reversal treatment showed intermediate lifespan and intermediate lipid content at birth. In the clone characterized by the “inverse Lansing Effect” neonates produced by older mothers showed higher mitochondrial membrane potential in neural tissues than their counterparts born to younger mothers. We conclude that an “inverse Lansing Effect” is possible, and hypothesize that it may be caused by age-specific maternal lipid provisioning creating a calorically restricted environment during embryonic development, which, in turn reduces fecundity and increases lifespan. Methods Origin and maintenance of clones Daphnia magna clones used in this study (Supplementary Table 1) were obtained from Basel University Daphnia stock collection in Basel, Switzerland. They are a subset of clones that have been previously characterized for a number of life-history traits (Coggins et al, 2021b) and were chosen to represent a range of clone-specific life expectancies. Stocks were maintained in the lab at 20 °C in 200 mL jars with COMBO water (Kilham et al. 1998), 10 adults per jar and fed a diet of Scenedesmus acutus at the concentration of 100,000 cells per mL per day or 2x106 cells/Daphnia/day. This Daphnia and food density was the same in all experiments. Supplementary Table 1 lists clones’ IDs as recorded by Basel clone collection. For the sake of brevity clones will be thereafter referred to by the first two letters of their IDs that are indicative of the country of origin (using Internet domain two-letter codes). Lifespan experiments Because the interactions discussed below span three generations, we use the following conventions to avoid ambiguity. Generation 1 females’ age at the time they give birth to Generation 2 females will be referred to as “maternal age” (MA) in the analyses of its effects on their daughters (e.g. on the daughters’ longevity) and “grand-maternal age” (GMA) in the analysis of its effects on Generation 1 females’ grandchildren (e.g., grandchildren’s sex). Generation 2 females will be referred to as “daughters” relative to Generation 1 females, or “mothers” relative to Generation 3 individuals, which, in turn, are referred to as “offspring”. Males in Generation 3 are also referred to as “sons” or “grandsons” relative to Generation 2 and 1, respectively. Details of the lifespan experiments are summarized in Table 1. We first conducted a larger experiment with five clones that were maintained in groups of 5 in 100 mL jars and in which individual life history parameters were not measured. We then chose two clones for a smaller experiment with individually maintained Daphnia and more detailed life history data recorded. The choice of the two clones was influenced by their contrasting life-histories: in four separate previous experiments (Coggins at al. 2021b; Anderson et al. 2022; L. Yampolsky and M. Ekwudo, unpublished data) they were shown to differ in early reproduction and lifespan, with the GB-EL75-69 clone (thereafter “GB”) characterized by longer lifespan than the FI-FSP1-16-2 clone (thereafter “FI”). In both experiments, in order to obtain Generation 2 daughters of older (thereafter the “O” maternal age) and younger (thereafter the “Y” maternal age) Generation 1 females simultaneously, two grand-maternal cohorts of each clone were created by collection of neonate females born by 15-20 days old Daphnia, staggered 50-55 days apart (which corresponds to approximately the median lifespan and which implies that Daphnia in the Y treatment went through three 15-20 days long generations during the lifetime of the O treatment grandmothers, see Fig. 1). Additionally, in order to test the reversibility of any grand-maternal effects though any hypothetical “rejuvenation” effects of being born to younger mothers, a subset of Experiment 2 Generation 2 females were born to 14.6 ± 2.65 (SD) mothers, who were, in turn, daughters of 70-day old mothers (thereafter the maternal age reversal, OY, treatment, Fig. 1, gray.) This treatment was limited to only one clone, GB. Experiment 1 was conducted in 2 blocks with cohort sizes 353 individuals (in 70 independent jars) and 1095 individuals (in 220 jars). Experiment 2 consisted of a single cohort of 153 individuals (each in an independent vial). Sex ratios, clutch size, offspring size Sex ratio was determined in clutches produced by females between their age at maturity and age of 40 days. Females who died before that age were excluded from the analysis to avoid bias in sex ratios, as early clutches rarely contain males. Additionally, to check for sex ratio of offspring produced by older mothers, sex ratio of offspring was measured for a subset of mothers 55-100 days old in experiment 1 and mothers of 40-85 days in experiment 2. Nile red staining for lipids In order to quantify maternal provisioning of storage lipids to offspring, newborn Daphnia (<24 h old) from the same clutches from which Generation 2 FI and GB females came from were stained with Nile Red dye for 2 hours with the final dye concentration 1 mg/mL, achieved by adding 5 uL of 200 mg/mL stock solution in acetone to 995 uL of combo water. Fluorescence was recorded using EVOS microscope (4x objective, aperture 0.13). Fluorescence in the entire body was measured (Supplementary Figure 1A). Because the distribution of storage lipid bubbles is patchy, the histogram of intensities was recorded and the fraction of intensities above an arbitrary chosen threshold was obtained, with the threshold chosen in such a way that it masked-in the lipid bubbles, leaving out the rest of the body. Specifically, the 8-bit image gray value of 200 was chosen as the threshold with 2.5% of pixels showing intensity above this threshold in 3 randomly chosen images. The same threshold was applied to all images. This allows the analysis of the portion of pixels located inside and the portion of fluorescence intensity emanating from the brightly fluorescent lipid vesicles, excluding background fluorescence emanating from non-storage lipids in other tissues. The portion of pixels and the portion of fluorescence from the lipid bubbles are therefore proxies for the portion of the body occupied by lipid storage and lipids density in these storage areas, respectively. Mitochondrial potential measurements Mitochondrial membrane potential (DYm)is commonly used as a measure of mitochondrial quality, with the reduced DYm values indicative of loss of membrane integrity and/or reduced function of electron transport chain (Perry et al. 2018) and correlate with apoptosis and aging (Nicholls 2004). Mitochondrial membrane potential is commonly used by means of measuring the accumulation of cationic fluorophore rhodamine-123 inside the mitochondria (Emaus et al. 1986; Huang et al. 2007; Perry et al. 2018), the rate of such accumulation is proportional to the magnitude of proton gradient across the inner mitochondrial membrane. Mitochondrial potential was measured by means of rhodamine-123 staining in neonates born to either young or old mothers treated as described above. Newborns <12 h old were placed in groups of 5 into 1.5 mL tubes containing 0 - 10 uM rhodamine-123 in COMBO water for 24 hours (Coggins et al. 2021a). The fluorescence was measured with Leica DM3000 microscope with a 10x objective (0.22 aperture) equipped with Leica DFc450C camera using the 488 nm excitation / broadband (>515 nm) emission filter. The following Regions of Interest (ROI) were selected (Supplementary Figure 1B): 2nd antenna and heart (representing muscle tissues), brain and optical lobe (representing neural tissue), 2nd epipodite and nuchal organ (representing excretory/osmoregulatory organs and non-neural head tissue (where the fluorescence was emitted largely from the head carapace epithelium without any organized tissue beneath). Median fluorescence (background subtracted) was recorded with exposure of 100 ms with gain 1, except the rhodamine concentration of 0, which was measured with gain 10 (and the resulting measurement divided by this factor) using ImageJ software (Rasband 2018).

Morocco Vital Statistics: Life Expectancy Rate: Male data was reported at 74.200 % in 2015. This records a decrease from the previous number of 74.500 % for 2014. Morocco Vital Statistics: Life Expectancy Rate: Male data is updated yearly, averaging 70.800 % from Dec 1980 (Median) to 2015, with 21 observations. The data reached an all-time high of 74.500 % in 2014 and a record low of 58.100 % in 1980. Morocco Vital Statistics: Life Expectancy Rate: Male data remains active status in CEIC and is reported by High Commission for Planning. The data is categorized under Global Database’s Morocco – Table MA.G006: Vital Statistics.

Morocco Vital Statistics: Life Expectancy Rate data was reported at 75.800 % in 2015. This records an increase from the previous number of 75.450 % for 2014. Morocco Vital Statistics: Life Expectancy Rate data is updated yearly, averaging 72.000 % from Dec 1980 (Median) to 2015, with 21 observations. The data reached an all-time high of 75.800 % in 2015 and a record low of 59.100 % in 1980. Morocco Vital Statistics: Life Expectancy Rate data remains active status in CEIC and is reported by High Commission for Planning. The data is categorized under Global Database’s Morocco – Table MA.G006: Vital Statistics.

MA：出生时预期寿命：共计在12-01-2016达75.821年，相较于12-01-2015的75.573年有所增长。MA：出生时预期寿命：共计数据按年更新，12-01-1960至12-01-2016期间平均值为63.536年，共57份观测结果。该数据的历史最高值出现于12-01-2016，达75.821年，而历史最低值则出现于12-01-1960，为48.458年。CEIC提供的MA：出生时预期寿命：共计数据处于定期更新的状态，数据来源于World Bank，数据归类于全球数据库的摩洛哥 – 表 MA.世行.WDI：卫生统计。

MA：出生时预期寿命：男性在12-01-2016达74.642年，相较于12-01-2015的74.406年有所增长。MA：出生时预期寿命：男性数据按年更新，12-01-1960至12-01-2016期间平均值为61.978年，共57份观测结果。该数据的历史最高值出现于12-01-2016，达74.642年，而历史最低值则出现于12-01-1960，为47.152年。CEIC提供的MA：出生时预期寿命：男性数据处于定期更新的状态，数据来源于World Bank，数据归类于Global Database的摩洛哥 – 表 MA.世界银行：卫生统计。