Indonesia BPS Projection: Population: Mid-Year: North Sumatera: Medan Municipality data was reported at 2,264.145 Person th in 2018. This records an increase from the previous number of 2,247.425 Person th for 2017. Indonesia BPS Projection: Population: Mid-Year: North Sumatera: Medan Municipality data is updated yearly, averaging 2,123.210 Person th from Jun 2008 (Median) to 2018, with 11 observations. The data reached an all-time high of 2,264.145 Person th in 2018 and a record low of 2,102.105 Person th in 2008. Indonesia BPS Projection: Population: Mid-Year: North Sumatera: Medan Municipality data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Indonesia Premium Database’s Socio and Demographic – Table ID.GAB002: Population Projection: Mid-Year: North Sumatera: by Regency and Municipality: Central Bureau of Statistics.

Comprehensive population and demographic data for Medan Village

Disclaimer:The raw data originates from the Medan City administration's aggregate MSME data. The researcher obtained research permit number 000.9/1826 in 2023 and received authorization from the Medan City Government to analyze and publish this data.Interpretation:This table presents data on business licence ownership across 21 districts in the city of Medan. It categorises individuals as those who own business licenses ("yes") and those who do not ("no") with a total count for each district.Key Insights:Overall Business License Ownership:7,034 individuals (7.80%) have registered business licences.83,157 individuals (92.20%) do not own business licences.Districts with the Highest Business License Ownership:Medan Tuntungan: 3,078 licences issued (43.77% of total licence owners).Medan Tembung: 2,170 licenses (30.86%).Medan Area: 820 licences (11.66%).Districts with the Lowest Business License Ownership:Medan Labuhan: two licenses (0.03%).Medan Maimun: 2 licences (0.03%).Medan Belawan: 3 licences (0.04%).General Trend:The distribution suggests that certain districts, such as Medan Tuntungan and Medan Tembung, have a significantly higher number of registered businesses, possibly due to economic activity or local policies that encourage formalisation.Meanwhile, districts like Medan Labuhan and Medan Belawan have virtually very few registered businesses, which may indicate challenges in business regulation or a predominance of informal enterprises.Potential Research Implications:Entrepreneurship Formalisation: The low percentage of registered businesses suggests potential barriers to formal business registration.District-Level Economic Activity: The variations in licence ownership may reflect differences in commercial density across districts.Policy considerations: Understanding why certain districts have greater license ownership could help shape local regulations that incentivise formal business registration.

Disclaimer:The raw data originates from the Medan City administration's aggregate MSME data. In 2023, the researcher obtained research permit number 000.9/1826 and received authorization from the Medan City Government to analyze and publish this data.Interpretation:Table 1.7 presents data on the distribution of business registration across 21 districts in Medan City. It categorises individuals based on whether they own an NIB ("Yes") or do not own an NIB ("No"), with a total count for each district.Key Observations:Overall NIB Ownership in Medan City:371 individuals (0.41%) have a Business Identification Number (NIB).89,820 individuals (99.59%) do not have an NIB.Total population covered: 90,191 individuals.Districts with the Highest NIB Ownership:Medan Belawan leads with 139 individuals (37.5% of all NIB holders).Medan Tuntungan follows with 24 individuals (6.5%).Medan Kota records 27 individuals (7.3%).Districts with the Lowest NIB Ownership:Medan Tembung, Medan Deli, and Medan Labuhan each have only 2 registered businesses (0.5%).Medan Maimun records just 3 businesses (0.8%).Several districts show minimal business formalisation.General Trends & Insights:The overwhelming majority (99.59%) of individuals do not own an NIB, suggesting that most businesses operate informally or under local permits instead of full national registration.Certain districts, like Medan Belawan, Medan Kota, and Medan Tuntungan, demonstrate greater NIB ownership, possibly due to economic activity or local policies supporting formalisation.Other areas, such as Medan Labuhan and Medan Deli, show almost no formal business registration, indicating potential regulatory or accessibility barriers.Potential Research Implications:Entrepreneurship formalisation: The extremely low percentage (0.41%) of registered businesses highlights potential challenges in compliance or accessibility.Economic Activity by District: Understanding why certain districts have more registered businesses may reveal differences in commercial density and government enforcement.Policy Considerations: The data can inform initiatives to encourage business formalization and improve access to NIB registration for entrepreneurs.

Data shared in this platform is data related to quality of life and domains in Medan City, North Sumatra Province, Indonesia. Medan City is the third largest city in Indonesia with a population of around 2.5 million. Medan city is certainly not spared from the Covid-19 Pandemic although judging by the percentage it is only 2-3% of the total Covid-19 sufferers in Indonesia. The quality of life measured is the quality of life of the community after 2 months of applying Physical Distancing. The application of Physical Distancing certainly has an impact on the declining quality of life of the people. By measuring the quality of life of the people during this pandemic, it is expected to be able to provide an overview for all stakeholders related to the impact of a pandemic and the policies undertaken in relation to the pandemic on the quality of life of people in an area. In the future, this is expected to be a good reference regarding pandemics and policies that should be implemented.

Disclaimer:The raw data of this crosstabulation originates from the 2023 Medan City MSME survey undertaken by the Medan City administration. All MSMEs in this study possess a business registration or operating permit in Medan City. The researcher has received authorization from the Medan City Government to analyze and publish this data by permit number 000.9/1826 in 2023.Interpretation:This table presents a demographic breakdown of sampled entrepreneurial individuals across 21 districts in Medan City. The table categorises participants or business owners by gender (men and women) and provides a total count for each district.Key Insights:Overall Gender Distribution:Women (962 individuals) make up 67.8% of the sample.Men (458 individuals) account for 32.2%.The total sample size is 1,420 individuals.Districts with the Highest Women's Representation:Medan Helvetia: 143 women (77.3%).Medan Sunggal: 92 women (63.0%).Medan Barat: 56 women (73.7%).Districts with the Highest Men's Representation:Medan Sunggal: 54 men (37.0%).Medan Denai: 42 men (40.4%).Medan Helvetia: 42 men (22.7%).District with Lowest Sample Size:Medan Maimun: Only 20 individuals sampled (7 men and 13 women).Potential Research Implications:Gender-based entrepreneurial activity: Certain districts may have higher concentrations of women entrepreneurs, which can influence policy or support programs.Regional demographic disparities: The variation in sample sizes across districts may reflect differences in population density or business registration patterns.Further statistical modelling: Logistic regression or clustering analysis could reveal more profound insights into gender distribution patterns.

BPS Projection: Population: Mid-Year: North Sumatera: Medan Municipality在2018达2,264.145 Person th，相较于2017的2,247.425 Person th有所增长。BPS Projection: Population: Mid-Year: North Sumatera: Medan Municipality数据按每年更新，2008至2018期间平均值为2,123.210 Person th，共11份观测结果。该数据的历史最高值出现于2018，达2,264.145 Person th，而历史最低值则出现于2008，为2,102.105 Person th。CEIC提供的BPS Projection: Population: Mid-Year: North Sumatera: Medan Municipality数据处于定期更新的状态，数据来源于Central Bureau of Statistics，数据归类于Indonesia Premium Database的Socio and Demographic – Table ID.GAB002: Population Projection: Mid-Year: North Sumatera: by Regency and Municipality: Central Bureau of Statistics。

The corms and leaves of elephant foot yams (Amorphophallus paeoniifolius (Dennst.) Nicolson) are important foods in the local diet in many Asian regions. The crop has high productivity and wide agroecological adaptation and exhibits suitability for the agroforestry system. Although the plant is assumed to reproduce via panmixia, a comprehensive study on the genetic background across regions to enhance wider consumer palatability is still lacking. Here, ten informative microsatellites were analyzed in 29 populations across regions in India, Indonesia and Thailand to understand the genetic diversity, population structure and distribution to improve breeding and conservation programs. The genetic diversity was high among and within regions. Some populations exhibited excess heterozygosity and bottlenecking. Pairwise FST indicated very high genetic differentiation across regions (FST = 0.274), and the Asian population was unlikely to be panmictic. Phylogenetic tree construction grouped the populations according to country of origin with the exception of the Medan population from Indonesia. The current gene flow was apparent within the regions but was restricted among the regions. The present study revealed that Indonesia and Thailand populations could be alternative centers of the gene pool, together with India. Consequently, regional action should be incorporated in genetic conservation and breeding efforts to develop new varieties with global acceptance.

The Indonesian real estate market, valued at $64.78 million in 2025, is projected to experience robust growth, exhibiting a Compound Annual Growth Rate (CAGR) of 5.82% from 2025 to 2033. This expansion is driven by several key factors. A burgeoning population, particularly in rapidly urbanizing areas like Jakarta and Bali, fuels significant demand for residential properties. Furthermore, increasing foreign investment, coupled with government initiatives promoting infrastructure development and affordable housing schemes, is stimulating the market. The rise of e-commerce and a growing middle class are bolstering the retail and office segments. However, challenges exist, including potential interest rate fluctuations impacting borrowing costs and navigating regulatory complexities associated with land acquisition and construction permits. The market's segmentation by property type (residential, office, retail, hospitality, industrial) and city (Jakarta, Bali, Rest of Indonesia) allows for a nuanced understanding of growth patterns within specific niches. Major players like PT Intiland Development Tbk, Tokyu Land Indonesia, and Agung Podomoro Land are actively shaping the market landscape, competing for dominance in diverse segments and locations. The continued expansion of Indonesia's economy and its growing reputation as a Southeast Asian investment hub are expected to contribute to the long-term positive trajectory of this dynamic real estate sector. The diverse nature of the Indonesian real estate market presents both opportunities and risks. While the residential sector consistently dominates, the growth of the office and retail sectors reflects Indonesia's economic diversification. Strategic investments in logistics and manufacturing are bolstering the industrial segment, creating a need for specialized warehouse and factory spaces. Bali’s tourism sector contributes to the significant demand for hospitality properties, while Jakarta remains the center of commercial activity, driving office and retail market growth. Effective risk management strategies, including thorough due diligence regarding land titles and regulatory compliance, are crucial for navigating potential challenges. Future market performance will depend on maintaining economic stability, prudent government policies supporting sustainable development, and investor confidence in Indonesia's long-term growth prospects. Careful consideration of these factors will allow stakeholders to effectively participate in and capitalize on the potential of the Indonesian real estate market. Recent developments include: November 2023: Ciputra Group successfully launched its newest CitraLand City Sampali Kota Deli Megapolitan project in Medan. CitraLand City Sampali City Deli Megapolitan was developed by Ciputra Group together with KPN Group, in collaboration with PT Perkebunan Nusantara 2., September 2023: Tokyu Land Indonesia conducted the Topping Off ceremony for BRANZ Mega Kuningan. BRANZ Mega Kuningan Project is the third premium condominium development after BRANZ Simatupang and BRANZ BSD. The Topping Off ceremony, a significant milestone for TLID, was successfully held. During its introduction to the public, this project has already garnered attention from consumers interested in condominiums in Jakarta.. Key drivers for this market are: Growing Population, Increase in Demand for Residential Real Estate. Potential restraints include: Growing Population, Increase in Demand for Residential Real Estate. Notable trends are: Jakarta Emerging as a Prime Rental Market.

The data was collected to determine the role of habitat use and non-trophic predator-predator interactions on food-web dynamics. We developed four dynamic food-web models - with vs without habitat use and non-trophic predator interactions - and fit the models to the data. We used mesocosm experiments in the greenhouse, combining all combinations of 0, 1 or 2 predator species with 1 or 2 prey species (33 combinations in total, each with 6 replicates). aphid_counts (1734R × 6C) and pred_counts (180R × 8C): Aphid populations were counted on days 2, 4, 6 and 8, while predator populations were counted on day 8. Aphid populations in treatments with no predator were also counted on day 0, and some treatments with Coccinella septempunctata were counted on day 1 and 3 as well. Initial predator populations were 10 Pardosa, 2 C. septempunctata, 20 O. majusculus, or 20 Bembidion. Where the treatment only contained one predator, these numbers were doubled (i.e. 4 C. septempunctata). 150 aphids were added to each mesocosm on day -2 (i.e. two days before predators were added). This was either 150 of one aphid species or 75 of each aphid species. body_masses_raw (44R x 5C): This data set contains body mass measurements for each species in our experiment. Some species were weighed multiple at a time because of their small size. The columns contain name of the species measured ("Species"), mass of the measured individual(s) in grams ("Mass (g)"), the number of individuals that were weighed together ("Number of individuals"), the per capita mass of those weighed in that group ("Per capita Mass (mg)"), and the average per capita mass for the species, in mg ("Avg species per capita mass (mg)"). aphid_hab_use_by_replicate ( 97R x 5C) and pred_hab_use_by_replicate (985R x 5C): This dataset contains the habitat use of each aphid and predator species. The cage was divided into four areas - walls (and roof), ground, barley, and beans and we recorded the number of individuals located in each area. If an individual moved during counting it was assigned half to each habitat it was in. Aphid habitat use was recorded on days 2 and 6 of the 8 day experiment, while predators were recorded every day (or multiple times a day for Coccinella septempunctata, because we had so few individuals. Uppgifterna samlades in för att bestämma vilken roll mikrohabitatsanvändning och icke-trofiska interaktioner rovdjur sinsemellan har på dynamiken i näringsvävar. Vi utvecklade fyra dynamiska näringsvävsmodeller, med vs utan beaktande av mikrohabitatsanvändning och icke-trofiska rovdjursinteraktioner, och anpassade modellerna till data. Vi utförde mesokosmosexperiment i växthus, och kombinerade alla kombinationer av 0, 1 eller 2 rovdjursarter med 1 eller 2 bytesarter (totalt 33 kombinationer, var och en med 6 replikat). aphid_counts (1734R × 6C) och pred_counts (180R × 8C): Bladluspopulationer räknades dag 2, 4, 6 och 8, medan predatorpopulationer räknades dag 8. Bladluspopulationer i behandlingar utan predatorer räknades också dag 0, och vissa behandlingar med Coccinella septempunctata räknades dag 1 och 3 också. Initiala predatorpopulationer var 10 Pardosa, 2 C. septempunctata, 20 O. majusculus eller 20 Bembidion. Där behandlingen endast innehöll ett rovdjur fördubblades dessa antal (d.v.s. 4 C. septempunctata o.s.v.). 150 bladlöss tillsattes till varje mesokosmos dag -2 (dvs två dagar innan rovdjur tillsattes). Detta var antingen 150 individer av en bladlusart eller 75 av varje bladlusart. body_masses_raw (44R x 5C): Detta dataset innehåller uppmätta kroppsmassor för varje art i vårt experiment. Vissa arter vägdes flera åt gången på grund av deras ringa vikt. Kolumnerna innehåller namnet på den uppmätta arten ("Species"), den/de uppmätta individens massa i gram ("Mass (g)"), antalet individer som vägdes tillsammans ("Number of individuals"), per capita massa av de som vägdes i den gruppen ("Per capita Mass (mg)"), och den genomsnittliga massan per capita för arten, i mg ("Avg species per capita mass (mg)"). aphid_hab_use_by_replicate ( 97R x 5C) och pred_hab_use_by_replicate (985R x 5C): Detta dataset innehåller livsmiljöanvändningen för varje bladlus- och rovdjursart. Buren var uppdelad i fyra områden - väggar (inklusive tak), mark, korn, samt bönor - och vi registrerade antalet individer som fanns i varje område. Om en individ flyttade sig från ett habitat till ett annat under räkningen så räknades den som en halv individ i vart av de två habitaten som den befann sig i. Bladlössens habitatanvändning registrerades dag 2 och 6 under 8-dagarsexperimentet, medan rovdjuren registrerades varje dag (eller flera gånger om dagen för Coccinella septempunctata, eftersom vi hade så få individer).

The growth of the population and the development of the city are interrelated. Each increase in the population has an impact on the growth of the city, and vice versa. With the increasing population, the demand for settlement land also increases. Consequently, the availability of land becomes more limited and diminishes every year. Medan city is an example of a city experiencing rapid regional growth and development due to fast population growth, leading to an increase in land requirements. The author examines the regional development of Medan city, urban spatial planning approaches, and environmental issues faced by the city's growth. The author employs a qualitative approach and utilizes qualitative descriptive techniques based on literature research. The research results indicate that the residential area of Medan city has increased by 235.94%, rising from 84.56 km2 (1989) to 199.50 km2. The city's development pattern in 1989 was leap frog development, while in 2002, it showed concentric development. From 2007 to 2018, the Medan Marelan district experienced significant development, amounting to 491.06 hectares.